sobel算子
原
sobel算子,Matlab实现
2013年03月23日 15:04:04 zhufanqie 阅读数:17467更多
<p class="tags-box space">
<span class="label">个人分类:</span>
<a class="tag-link" href="https://blog.csdn.net/zhufanqie/article/category/1300211" target="_blank">图像相关 </a>
</p>
</p>
<p class="operating">
</p>
</p>
</p>
</p>
<article>
<p id="article_content" class="article_content clearfix csdn-tracking-statistics" data-pid="blog" data-mod="popu_307" data-dsm="post">
<link rel="stylesheet" href="https://csdnimg.cn/release/phoenix/template/css/ck_htmledit_views-f76675cdea.css">
<p class="htmledit_views">
A=imread('D:\image\Body.jpg');
I = rgb2gray(A);
subplot(2,2,1);
imshow(I);
title('原图');
hx=[-1 -2 -1;0 0 0 ;1 2 1];%生产sobel垂直梯度模板
hy=hx'; %生产sobel水平梯度模板
gradx=filter2(hx,I,'same');
gradx=abs(gradx); %计算图像的sobel垂直梯度
subplot(2,2,2);
imshow(gradx,[]);
title('图像的sobel垂直梯度');
grady=filter2(hy,I,'same');
grady=abs(grady); %计算图像的sobel水平梯度
subplot(2,2,3);
imshow(grady,[]);
title('图像的sobel水平梯度');
grad=gradx+grady; %得到图像的sobel梯度
subplot(2,2,4);
imshow(grad,[]);
title('图像的sobel梯度');
结果为:
可以看出:
Sobel算子中的垂直模板得到的梯度图,由于梯度方向与边缘走向垂直,所以该梯度图对水平边缘有较强的响应,从而水平细节信息非常清晰;
sobel算子中的水平模板得到的梯度图,它对垂直边缘有较强的响应,垂直细节非常清晰。
Sobel算子水平和垂直方向叠加的梯度图,水平和垂直细节都非常清晰。
<script>
(function(){
function setArticleH(btnReadmore,posi){
var winH = $(window).height();
var articleBox = $("p.article_content");
var artH = articleBox.height();
if(artH > winH*posi){
articleBox.css({
'height':winH*posi+'px',
'overflow':'hidden'
})
btnReadmore.click(function(){
articleBox.removeAttr("style");
$(this).parent().remove();
})
}else{
btnReadmore.parent().remove();
}
}
var btnReadmore = $("#btn-readmore");
if(btnReadmore.length>0){
if(currentUserName){
setArticleH(btnReadmore,3);
}else{
setArticleH(btnReadmore,1.2);
}
}
})()
</script>
</article>
Sobel算子matlab实现 - luxialan的专栏
算子实际上是用来对图像进行卷积处理,其本质是用变分法来
想对作者说点什么? 我来说一句
- 上一页
- 1
- 下一页
</p>
Matlab图像边缘检测Roberts\Sobel\Prewitt\Canny算子 - 烟雨博客
04-18 8364
确定图像中的物体边界的一种方法是先检测每个像素和其直接淋雨的状态已决定该像素是否确实处于一个物体的边界上。具有这种特性的像素被标记为边缘点。当图像中各个像素的灰度级用来反映各像素要求的程度时,这种图像... 来自: 烟雨博客
<p class="recommend-item-box type_blog clearfix" data-track-click="{"mod":"popu_387","con":",https://blog.csdn.net/u011764485/article/details/38820891,BlogCommendFromBaidu_3,index_1"}" data-flg="true">
<p class="content" style="width: 842px;">
<a href="https://blog.csdn.net/u011764485/article/details/38820891" target="_blank" title="Sobel算子边缘检测Matlab实现(转) - 开心点点的专栏">
<h4 class="text-truncate oneline" style="width: 751px;">
<em>Sobel算子</em>边缘检测<em>Matlab实现</em>(转) - 开心点点的专栏 </h4>
<p class="info-box d-flex align-content-center">
<!-- <p class="avatar">
<img src="https://avatar.csdn.net/F/4/D/3_u011764485.jpg" alt="u011764485" class="avatar-pic">
<span class="namebox">
<span class="name">u011764485</span>
<span class="triangle"></span>
</span>
</p> -->
<p class="date-and-readNum">
<span class="date hover-show">08-25</span>
<span class="read-num hover-hide">
<svg class="icon csdnc-yuedushu" aria-hidden="true">
<use xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="#csdnc-m-passwords-visible"></use>
</svg>
4854</span>
</p>
</p>
</a>
<p class="content" style="width: 842px;">
<a href="https://blog.csdn.net/u011764485/article/details/38820891" target="_blank" title="Sobel算子边缘检测Matlab实现(转) - 开心点点的专栏">
<span class="desc oneline">f=imread('1.jpg');
f=rgb2gray(f);%转化成灰度图
f=im2double(f);%函数im2double 将其值归一化到0~1之间
%使用垂直Sobcl箅子.自动…
来自: 开心点点的专栏
<p class="recommend-item-box type_blog clearfix" data-track-click="{"mod":"popu_387","con":",https://blog.csdn.net/Mahabharata_/article/details/69099136,BlogCommendFromBaidu_12,index_2"}" data-flg="true">
<p class="content" style="width: 842px;">
<a href="https://blog.csdn.net/Mahabharata_/article/details/69099136" target="_blank" title="[图像处理] Sobel边缘检测算法 - ryuzhihao123 的博客(编程,cg,ml)">
<h4 class="text-truncate oneline" style="width: 751px;">
[图像处理] Sobel边缘检测算法 - ryuzhihao123 的博客(编程,cg,ml) </h4>
<p class="info-box d-flex align-content-center">
<!-- <p class="avatar">
<img src="https://avatar.csdn.net/4/E/E/3_mahabharata_.jpg" alt="Mahabharata_" class="avatar-pic">
<span class="namebox">
<span class="name">Mahabharata_</span>
<span class="triangle"></span>
</span>
</p> -->
<p class="date-and-readNum">
<span class="date hover-show">04-04</span>
<span class="read-num hover-hide">
<svg class="icon csdnc-yuedushu" aria-hidden="true">
<use xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="#csdnc-m-passwords-visible"></use>
</svg>
5903</span>
</p>
</p>
</a>
<p class="content" style="width: 842px;">
<a href="https://blog.csdn.net/Mahabharata_/article/details/69099136" target="_blank" title="[图像处理] Sobel边缘检测算法 - ryuzhihao123 的博客(编程,cg,ml)">
<span class="desc oneline">完成时间:2017/1/23
我的实现结果如下:(图一为原图,图二为边缘检测结果)
关于Sobel算子(英文部分来源于Wikipedia…
来自: RyuZhihao123 的博客
<p class="recommend-item-box recommend-ad-box"><p id="kp_box_517" data-pid="59" data-track-view="{"mod":"kp_popu_517","con":",,"}"><p class="mediav_ad"><newsfeed class="newsfeed QIHOO__WEB__SO__1541726843349_52" id="QIHOO__WEB__SO__1541726843349_52" style="display:block;margin:0;padding:0;border:none;width:900px;height:84px;overflow-y:hidden;overflow-x:hidden;position:relative;text-align:left;"><info-p id="QIHOO__WEB__SO__1541726843349_52-info" style="zoom:1"><info-p class="QIHOO__WEB__SO__1541726843349_52 singleImage clk" data-href="https://s1.milkjpg.com/s?type=2&r=20&mv_ref=blog.csdn.net&enup=CAABe5cVlggAApYVl3sA&mvid=NjU2MTg3MjUxNTc0OTE0MTEwNzAwMTg&bid=12b4a13f11269071&price=AAAAAFvk4nwAAAAAAAnTOo53h6JEjnyRNwLF3w==&finfo=DAABCAABAAAArwgAAgAAAKcEAAM/T3D4EgYE/AAIAAIAAAADCgADTVy9TsA2CtcIAAQAAAC2BgAGLbcIAAgAGrPwCgAJAAAAAAACEBgGAAoAAAA&ugi=FcTgigEVyNtrTBUCFcoEFcoEFQAAFZzaw7EHFgQVyAEA&uai=FaixkwIlAhUEFr7/oJ29jdrcmgEV8ggl96qj+wolABUaAA&ubi=FeDPSBX2ga8CFcicshYVvuq5VhUEFRwWnKuZ+hYWvv+1hMfT3tyaATQCFrDAkIAIJQYVg7KFDxW+BRUANsaexLSmiufUlQEA&clickid=0&cpx=__offset_X__&cpy=__OFFSET_Y__&cs=__EVENT_TIME_START__&ce=__EVENT_TIME_END__&csign=2a0b5d93e9c8beec&url=http%3A%2F%2Fwww.yuanmeibang.cn%2F" data-pv="https://s1.milkjpg.com/s?type=1&r=20&tid=NjU2MTg3MjUxNTc0OTE0MTEwNzAwMTg&finfo=DAABCAABAAAArwgAAgAAAKcEAAM/T3D4EgYE/AAIAAIAAAADCgADTVy9TsA2CtcIAAQAAAC2BgAGLbcIAAgAGrPwCgAJAAAAAAACEBgGAAoAAAA&mv_ref=blog.csdn.net&enup=CAABe5cVlggAApYVl3sA&mvid=NjU2MTg3MjUxNTc0OTE0MTEwNzAwMTg&bid=12b4a13f11269071&ugi=FcTgigEVyNtrTBUCFcoEFcoEFQAAFZzaw7EHFgQVyAEA&uai=FaixkwIlAhUEFr7/oJ29jdrcmgEV8ggl96qj+wolABUaAA&ubi=FeDPSBX2ga8CFcicshYVvuq5VhUEFRwWnKuZ+hYWvv+1hMfT3tyaATQCFrDAkIAIJQYVg7KFDxW+BRUANsaexLSmiufUlQEA&ds=1&price=AAAAAFvk4nwAAAAAAAnTOo53h6JEjnyRNwLF3w==,https://max-l.mediav.com/rtb?type=2&d=100&b=12b4a13f11269071&p=2255956&l=1136674&s=1&z=1&w=AAAAAFvk4nwAAAAAAAnTZWoDDKnXo6YE+s6q3w==&k=Bj1AaQAAAAA=&i=LA67CBl9HJ4A&v=65618725157491411070018" data-clk="https://max-l.mediav.com/rtb?type=3&d=100&b=12b4a13f11269071&p=2255956&l=1136674&s=1&k=Bj1AaQAAAAA=&i=LA67CBl9HJ4A&v=65618725157491411070018&x=__OFFSET_X__&y=__OFFSET_Y__&st=__EVENT_TIME_START__&et=__EVENT_TIME_END__&tc=&turl=">
<info-p class="wrap">
<info-p class="singleImage-img singleImage-img-left">
<info-p class="img" style="background-image:url(https://s3m.mediav.com/galileo/594928-6ac0f44e6542e36ddaf87deede3e3f25.jpg)"><info-p class="ads-tag"></info-p></info-p>
</info-p>
<info-p class="singleImage-body singleImage-body-left">
<info-p class="singleImage-title">天津股王8年不亏铁律“1272”曝光,震惊众人!</info-p>
<info-p class="singleImage-desc">知恩网络 · 燨燚</info-p>
</info-p>
<p class="recommend-item-box recommend-box-ident type_blog clearfix" data-track-view="{"mod":"popu_387","con":",https://blog.csdn.net/Lrrent/article/details/51424447,BlogCommendFromBaidu_0,index_3"}" data-track-click="{"mod":"popu_387","con":",https://blog.csdn.net/Lrrent/article/details/51424447,BlogCommendFromBaidu_0,index_3"}" data-flg="true">
<p class="content" style="width: 842px;">
<a href="https://blog.csdn.net/Lrrent/article/details/51424447" target="_blank" title="Sobel边缘检测(matlab) - lrrent的博客">
<h4 class="text-truncate oneline" style="width: 749px;">
Sobel边缘检测(matlab) - lrrent的博客 </h4>
<p class="info-box d-flex align-content-center">
<!-- <p class="avatar">
<img src="https://avatar.csdn.net/4/A/6/3_lrrent.jpg" alt="Lrrent" class="avatar-pic">
<span class="namebox">
<span class="name">Lrrent</span>
<span class="triangle"></span>
</span>
</p> -->
<p class="date-and-readNum">
<span class="date hover-show">05-16</span>
<span class="read-num hover-hide">
<svg class="icon csdnc-yuedushu" aria-hidden="true">
<use xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="#csdnc-m-passwords-visible"></use>
</svg>
3.1万</span>
</p>
</p>
</a>
<p class="content" style="width: 842px;">
<a href="https://blog.csdn.net/Lrrent/article/details/51424447" target="_blank" title="Sobel边缘检测(matlab) - lrrent的博客">
<span class="desc oneline">边缘检测是为了将其周围像素灰度有阶跃变化的像素检测出来,这些像素组成的集合就是该图像的边缘。比较常用的边缘检测方法就是考察每个像素在某个领域内灰度的变化,然后利用边缘临近一阶或二阶方向导数变化规律检测...</span>
</a>
<span class="blog_title_box oneline"><a target="_blank" href="https://blog.csdn.net/Lrrent">来自: <span class="blog_title"> Lrrent的博客</span></a></span>
</p>
</p>
</p>
<p class="recommend-item-box recommend-box-ident recommend-download-box clearfix" data-track-view="{"mod":"popu_387","con":",https://download.csdn.net/download/maiqiuzhizhu/898474,BlogCommendFromBaidu_4,index_4"}" data-track-click="{"mod":"popu_387","con":",https://download.csdn.net/download/maiqiuzhizhu/898474,BlogCommendFromBaidu_4,index_4"}" data-flg="true">
<a href="https://download.csdn.net/download/maiqiuzhizhu/898474" target="_blank">
<p class="content">
<p class="">
<span class="type">下载</span>
<h4 class="text-truncate oneline clearfix">
<em>sobel算子</em>的<em>matlab实现</em> - - </h4>
<span class="data float-right">12-22</span>
</p>
<p class="desc oneline">
在学图像处理时,自己用matlab编的sobel算子. 注意只适合初学者噢! </p>
</p>
</a>
</p>
<p class="recommend-item-box recommend-box-ident type_blog clearfix" data-track-view="{"mod":"popu_387","con":",https://blog.csdn.net/qq_32190961/article/details/69258347,BlogCommendFromBaidu_5,index_5"}" data-track-click="{"mod":"popu_387","con":",https://blog.csdn.net/qq_32190961/article/details/69258347,BlogCommendFromBaidu_5,index_5"}" data-flg="true">
<p class="content" style="width: 842px;">
<a href="https://blog.csdn.net/qq_32190961/article/details/69258347" target="_blank" title="matlab中的Sobel算子C程序源码 - qq_32190961的博客">
<h4 class="text-truncate oneline" style="width: 751px;">
matlab中的<em>Sobel算子</em>c程序源码 - qq_32190961的博客 </h4>
<p class="info-box d-flex align-content-center">
<!-- <p class="avatar">
<img src="https://avatar.csdn.net/4/C/9/3_qq_32190961.jpg" alt="qq_32190961" class="avatar-pic">
<span class="namebox">
<span class="name">qq_32190961</span>
<span class="triangle"></span>
</span>
</p> -->
<p class="date-and-readNum">
<span class="date hover-show">04-05</span>
<span class="read-num hover-hide">
<svg class="icon csdnc-yuedushu" aria-hidden="true">
<use xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="#csdnc-m-passwords-visible"></use>
</svg>
1082</span>
</p>
</p>
</a>
<p class="content" style="width: 842px;">
<a href="https://blog.csdn.net/qq_32190961/article/details/69258347" target="_blank" title="matlab中的Sobel算子C程序源码 - qq_32190961的博客">
<span class="desc oneline">第一个:
/**************************************************
*Sobel算子边缘检测
*paramete…
来自: qq_32190961的博客
<p class="recommend-item-box recommend-box-ident type_blog clearfix" data-track-view="{"mod":"popu_387","con":",https://blog.csdn.net/liuyanan_/article/details/49932691,BlogCommendFromBaidu_6,index_6"}" data-track-click="{"mod":"popu_387","con":",https://blog.csdn.net/liuyanan_/article/details/49932691,BlogCommendFromBaidu_6,index_6"}" data-flg="true">
<p class="content" style="width: 842px;">
<a href="https://blog.csdn.net/liuyanan_/article/details/49932691" target="_blank" title="MATLAB的Roberts算子与Sobel算子 - 刘亚南(移动应用开发的分享与学习)">
<h4 class="text-truncate oneline" style="width: 751px;">
MATLAB的Roberts算子与<em>Sobel算子</em> - 刘亚南(移动应用开发的分享与学习) </h4>
<p class="info-box d-flex align-content-center">
<!-- <p class="avatar">
<img src="https://avatar.csdn.net/2/C/A/3_liuyanan_.jpg" alt="liuyanan_" class="avatar-pic">
<span class="namebox">
<span class="name">liuyanan_</span>
<span class="triangle"></span>
</span>
</p> -->
<p class="date-and-readNum">
<span class="date hover-show">11-19</span>
<span class="read-num hover-hide">
<svg class="icon csdnc-yuedushu" aria-hidden="true">
<use xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="#csdnc-m-passwords-visible"></use>
</svg>
4530</span>
</p>
</p>
</a>
<p class="content" style="width: 842px;">
<a href="https://blog.csdn.net/liuyanan_/article/details/49932691" target="_blank" title="MATLAB的Roberts算子与Sobel算子 - 刘亚南(移动应用开发的分享与学习)">
<span class="desc oneline">function [ output_args ] = Untitled4( input_args )
close all
clear all
I=imread(‘PeppersRGB.bmp’);
…
来自: 刘亚南
<p class="recommend-item-box recommend-box-ident type_blog clearfix" data-track-view="{"mod":"popu_387","con":",https://blog.csdn.net/sophia_xw/article/details/70168554,BlogCommendFromBaidu_7,index_7"}" data-track-click="{"mod":"popu_387","con":",https://blog.csdn.net/sophia_xw/article/details/70168554,BlogCommendFromBaidu_7,index_7"}" data-flg="true">
<p class="content" style="width: 842px;">
<a href="https://blog.csdn.net/sophia_xw/article/details/70168554" target="_blank" title="sobel算子 - sophia_xw的博客">
<h4 class="text-truncate oneline" style="width: 751px;">
<em>sobel算子</em> - sophia_xw的博客 </h4>
<p class="info-box d-flex align-content-center">
<!-- <p class="avatar">
<img src="https://avatar.csdn.net/9/E/E/3_sophia_xw.jpg" alt="sophia_xw" class="avatar-pic">
<span class="namebox">
<span class="name">sophia_xw</span>
<span class="triangle"></span>
</span>
</p> -->
<p class="date-and-readNum">
<span class="date hover-show">04-14</span>
<span class="read-num hover-hide">
<svg class="icon csdnc-yuedushu" aria-hidden="true">
<use xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="#csdnc-m-passwords-visible"></use>
</svg>
9496</span>
</p>
</p>
</a>
<p class="content" style="width: 842px;">
<a href="https://blog.csdn.net/sophia_xw/article/details/70168554" target="_blank" title="sobel算子 - sophia_xw的博客">
<span class="desc oneline">#1,个人理解
网上查了很多资料,都说sobel算子是用来检测边缘的,分别给了两个方向上的卷积核,然后说明做法,就说这就是sobel算子。对于我个人来说,还有很多不明白的地方,所以理清下思路。
#…
来自: sophia_xw的博客
<p class="recommend-item-box recommend-ad-box"><p id="kp_box_43" data-pid="60" data-track-view="{"mod":"kp_popu_43","con":",,"}"><p class="mediav_ad"><newsfeed class="newsfeed QIHOO__WEB__SO__1541726843361_355" id="QIHOO__WEB__SO__1541726843361_355" style="display:block;margin:0;padding:0;border:none;width:900px;height:84px;overflow-y:hidden;overflow-x:hidden;position:relative;text-align:left;"><info-p id="QIHOO__WEB__SO__1541726843361_355-info" style="zoom:1"><info-p class="QIHOO__WEB__SO__1541726843361_355 singleImage clk" data-href="https://s1.milkjpg.com/s?type=2&r=20&mv_ref=blog.csdn.net&enup=CAABe5cVlggAApYVl3sA&mvid=NjU2MTg3MjUxNTc0OTE0MTEwNzAwMTg&bid=12b4a13f2a949c73&price=AAAAAFvk4nwAAAAAAAneEaE2XGKTr711VaFzYQ==&finfo=DAABCAABAAAAoggAAgAAAKMEAAM/T8pNUDmbhAAIAAIAAAADCgADTVyP1GpHiBgIAAQAAACnBgAGLbcIAAgAGLggCgAJAAAAAAACEBgGAAoAAAA&ugi=FcTgigEVyNtrTBUCFcoEFcoEFQAAFZzaw7EHFgQVyAEA&uai=FeTGlAIlAhUEFr7/t5mMr8PcmgEV8gglh9S+xwQlABUaAA&ubi=FbLSShXw5LcCFZ7V3RYV2JSLVxUEFRwWuofAhBcWvv/MgJb1x9yaATQCFrDAkIAIJQYV1PjfzggVvgUVADbEvMGOuoqul9MBAA&clickid=0&cpx=__OFFSET_X__&cpy=__OFFSET_Y__&cs=__EVENT_TIME_START__&ce=__EVENT_TIME_END__&csign=80bb05e34f392a3d&url=http%3A%2F%2Fvip.hohjrd.cn" data-pv="https://s1.milkjpg.com/s?type=1&r=20&tid=NjU2MTg3MjUxNTc0OTE0MTEwNzAwMTg&finfo=DAABCAABAAAAoggAAgAAAKMEAAM/T8pNUDmbhAAIAAIAAAADCgADTVyP1GpHiBgIAAQAAACnBgAGLbcIAAgAGLggCgAJAAAAAAACEBgGAAoAAAA&mv_ref=blog.csdn.net&enup=CAABe5cVlggAApYVl3sA&mvid=NjU2MTg3MjUxNTc0OTE0MTEwNzAwMTg&bid=12b4a13f2a949c73&ugi=FcTgigEVyNtrTBUCFcoEFcoEFQAAFZzaw7EHFgQVyAEA&uai=FeTGlAIlAhUEFr7/t5mMr8PcmgEV8gglh9S+xwQlABUaAA&ubi=FbLSShXw5LcCFZ7V3RYV2JSLVxUEFRwWuofAhBcWvv/MgJb1x9yaATQCFrDAkIAIJQYV1PjfzggVvgUVADbEvMGOuoqul9MBAA&ds=1&price=AAAAAFvk4nwAAAAAAAneEaE2XGKTr711VaFzYQ==,https://max-l.mediav.com/rtb?type=2&d=100&b=12b4a13f2a949c73&p=2265522&l=1136674&s=1&z=1&w=AAAAAFvk4nwAAAAAAAneSzYfBMS/xxQi6Kr/AQ==&k=Va1kygAAAAA=&i=Lltkbml9HJC-&v=65618725157491411070018" data-clk="https://max-l.mediav.com/rtb?type=3&d=100&b=12b4a13f2a949c73&p=2265522&l=1136674&s=1&k=Va1kygAAAAA=&i=Lltkbml9HJC-&v=65618725157491411070018&x=__OFFSET_X__&y=__OFFSET_Y__&st=__EVENT_TIME_START__&et=__EVENT_TIME_END__&tc=&turl=">
<info-p class="wrap">
<info-p class="singleImage-img singleImage-img-left">
<info-p class="img" style="background-image:url(https://s3m.mediav.com/galileo/611481-5a27aaf5505fba5bb16a042872ad8e67.jpg)"><info-p class="ads-tag"></info-p></info-p>
</info-p>
<info-p class="singleImage-body singleImage-body-left">
<info-p class="singleImage-title">天津姑娘无聊时手机玩这个半年后存款惊人!</info-p>
<info-p class="singleImage-desc">未来之路 · 燨燚</info-p>
</info-p>
<p class="recommend-item-box recommend-box-ident type_blog clearfix" data-track-view="{"mod":"popu_387","con":",https://blog.csdn.net/u010418035/article/details/44938423,BlogCommendFromBaidu_8,index_8"}" data-track-click="{"mod":"popu_387","con":",https://blog.csdn.net/u010418035/article/details/44938423,BlogCommendFromBaidu_8,index_8"}" data-flg="true">
<p class="content" style="width: 842px;">
<a href="https://blog.csdn.net/u010418035/article/details/44938423" target="_blank" title="sobel算子实现边缘检测及其c++实现及与matlab效果对比 - hao_09的专栏(record easily overlooked details!)">
<h4 class="text-truncate oneline" style="width: 751px;">
<em>sobel算子</em>实现边缘检测及其c++实现及与matlab效果对比 - hao_09的专栏(record easily overlooked details!) </h4>
<p class="info-box d-flex align-content-center">
<!-- <p class="avatar">
<img src="https://avatar.csdn.net/2/4/B/3_u010418035.jpg" alt="u010418035" class="avatar-pic">
<span class="namebox">
<span class="name">u010418035</span>
<span class="triangle"></span>
</span>
</p> -->
<p class="date-and-readNum">
<span class="date hover-show">04-08</span>
<span class="read-num hover-hide">
<svg class="icon csdnc-yuedushu" aria-hidden="true">
<use xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="#csdnc-m-passwords-visible"></use>
</svg>
5627</span>
</p>
</p>
</a>
<p class="content" style="width: 842px;">
<a href="https://blog.csdn.net/u010418035/article/details/44938423" target="_blank" title="sobel算子实现边缘检测及其c++实现及与matlab效果对比 - hao_09的专栏(record easily overlooked details!)">
<span class="desc oneline">这里增加了对边缘像素的补齐。sobel梯度分割抗噪性好,但是无法做到自动阈值,是其一大遗憾,matlab却解决的很好。
//默认对8位位图进行处理
void Sobel(unsigned c…
来自: Hao_09的专栏
<p class="recommend-item-box type_hot_word">
<p class="content clearfix oneline" style="width: 842px;">
<h5 class="float-left">相关热词</h5>
<p class="float-left">
<span>
<a href="https://blog.csdn.net/xddwz/article/details/78006655" target="_blank">
Sobel算子</a>
</span>
<span>
<a href="https://blog.csdn.net/xddwz/article/details/78006655" target="_blank">
SOBEL算子</a>
</span>
<span>
<a href="https://blog.csdn.net/dcrmg/article/details/52280768" target="_blank">
sobel算子c</a>
</span>
</p>
</p>
</p>
<p class="recommend-item-box recommend-box-ident type_blog clearfix" data-track-view="{"mod":"popu_387","con":",https://blog.csdn.net/GoodShot/article/details/10170073,BlogCommendFromBaidu_9,index_9"}" data-track-click="{"mod":"popu_387","con":",https://blog.csdn.net/GoodShot/article/details/10170073,BlogCommendFromBaidu_9,index_9"}" data-flg="true">
<p class="content" style="width: 842px;">
<a href="https://blog.csdn.net/GoodShot/article/details/10170073" target="_blank" title="Sobel算子 - goodshot的专栏(追赶,超越)">
<h4 class="text-truncate oneline" style="width: 749px;">
<em>Sobel算子</em> - goodshot的专栏(追赶,超越) </h4>
<p class="info-box d-flex align-content-center">
<!-- <p class="avatar">
<img src="https://avatar.csdn.net/4/B/B/3_goodshot.jpg" alt="GoodShot" class="avatar-pic">
<span class="namebox">
<span class="name">GoodShot</span>
<span class="triangle"></span>
</span>
</p> -->
<p class="date-and-readNum">
<span class="date hover-show">08-22</span>
<span class="read-num hover-hide">
<svg class="icon csdnc-yuedushu" aria-hidden="true">
<use xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="#csdnc-m-passwords-visible"></use>
</svg>
6.2万</span>
</p>
</p>
</a>
<p class="content" style="width: 842px;">
<a href="https://blog.csdn.net/GoodShot/article/details/10170073" target="_blank" title="Sobel算子 - goodshot的专栏(追赶,超越)">
<span class="desc oneline">幻灯片1
Sobel算子
幻灯片2
一、Sobel边缘检测算子
l在讨论边缘算子之前,首先给出一些术语的定义:
l(1)边缘:灰度或结构等信息的突变处,边缘是一个区域的结束,也是另一个区域的开始…
来自: GoodShot的专栏
<p class="recommend-item-box blog-expert-recommend-box" style="display: block;">
<p class="d-flex">
<p class="blog-expert-recommend">
<p class="blog-expert">
<p class="blog-expert-flexbox" data-track-view="{"mod":"popu_709","con":"https://blog.csdn.net/zhufanqie/article/details/8709910"}"><p class="blog-expert-item"><p class="blog-expert-info-box"><p class="blog-expert-img-box" data-track-click="{"mod":"popu_709","con":"https://blog.csdn.net/zhufanqie/article/details/8709910"}"><a href="https://blog.csdn.net/utimes" target="_blank"><img src="https://avatar.csdn.net/E/D/3/3_utimes.jpg" alt="松子茶"><svg class="icon" aria-hidden="true"><use xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="#csdnc-blogexpert"></use></svg></a></p><p class="info"><span data-track-click="{"mod":"popu_709","con":"https://blog.csdn.net/zhufanqie/article/details/8709910"}"><a href="https://blog.csdn.net/utimes" target="_blank"><h5 class="oneline">松子茶</h5></a></span> <p><span data-track-click="{"mod":"popu_710","con":"https://blog.csdn.net/zhufanqie/article/details/8709910"}"><span class="blog-expert-button-follow btn-red-follow" data-name="utimes" data-nick="松子茶">关注</span></span><span class="article-num"> 449篇文章</span></p></p></p></p><p class="blog-expert-item"><p class="blog-expert-info-box"><p class="blog-expert-img-box" data-track-click="{"mod":"popu_709","con":"https://blog.csdn.net/zhufanqie/article/details/8709910"}"><a href="https://blog.csdn.net/TonyShengTan" target="_blank"><img src="https://avatar.csdn.net/3/B/2/3_tonyshengtan.jpg" alt="非主流科学家"><svg class="icon" aria-hidden="true"><use xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="#csdnc-blogexpert"></use></svg></a></p><p class="info"><span data-track-click="{"mod":"popu_709","con":"https://blog.csdn.net/zhufanqie/article/details/8709910"}"><a href="https://blog.csdn.net/TonyShengTan" target="_blank"><h5 class="oneline">非主流科学家</h5></a></span> <p><span data-track-click="{"mod":"popu_710","con":"https://blog.csdn.net/zhufanqie/article/details/8709910"}"><span class="blog-expert-button-follow btn-red-follow" data-name="TonyShengTan" data-nick="非主流科学家">关注</span></span><span class="article-num"> 236篇文章</span></p></p></p></p><p class="blog-expert-item"><p class="blog-expert-info-box"><p class="blog-expert-img-box" data-track-click="{"mod":"popu_709","con":"https://blog.csdn.net/zhufanqie/article/details/8709910"}"><a href="https://blog.csdn.net/asd136912" target="_blank"><img src="https://avatar.csdn.net/9/C/2/3_asd136912.jpg" alt="小鹅鹅"></a></p><p class="info"><span data-track-click="{"mod":"popu_709","con":"https://blog.csdn.net/zhufanqie/article/details/8709910"}"><a href="https://blog.csdn.net/asd136912" target="_blank"><h5 class="oneline">小鹅鹅</h5></a></span> <p><span data-track-click="{"mod":"popu_710","con":"https://blog.csdn.net/zhufanqie/article/details/8709910"}"><span class="blog-expert-button-follow btn-red-follow" data-name="asd136912" data-nick="小鹅鹅">关注</span></span><span class="article-num"> 49篇文章</span></p></p></p></p></p>
</p>
</p>
<p class="blog-expert-load-new" data-index="3" style="display: block;">
<svg version="1.1" viewBox="0 0 200 200" style="enable-background:new 0 0 200 200;" xml:space="preserve">
<path d="M142.5,57.5c-1.3-1.2-2.1-3.3-2.1-5.4c0-4.2,3.3-7.5,7.5-7.5h19.6c4.2,0,7.5,3.3,7.5,7.5s-3.3,7.5-7.5,7.5h-4.2
C170.8,71.2,175,85,175,100c0,41.7-33.8,75-75,75c-4.2,0-7.5-3.3-7.5-7.5c0-4.2,3.3-7.5,7.5-7.5c33.3,0,60-27.1,60-60
C160,83.7,153.8,68.7,142.5,57.5L142.5,57.5z M57.5,142.5c1.2,1.2,2.1,3.3,2.1,5.4c0,4.2-3.3,7.5-7.5,7.5H32.5
c-4.2,0-7.5-3.3-7.5-7.5c0-4.2,3.3-7.5,7.5-7.5h4.2C29.2,128.8,25,115,25,100c0-41.7,33.7-75,75-75c4.2,0,7.5,3.3,7.5,7.5
S104.2,40,100,40c-33.3,0-60,27.1-60,60C40,116.2,46.2,131.2,57.5,142.5z"></path>
</svg>
<span>换一批</span>
</p>
</p>
</p>
<p class="recommend-item-box recommend-box-ident type_blog clearfix" data-track-view="{"mod":"popu_387","con":",https://blog.csdn.net/qq_29540745/article/details/51918004,BlogCommendESEnWordWeight_10,index_10"}" data-track-click="{"mod":"popu_387","con":",https://blog.csdn.net/qq_29540745/article/details/51918004,BlogCommendESEnWordWeight_10,index_10"}" data-flg="true">
<p class="content" style="width: 842px;">
<a href="https://blog.csdn.net/qq_29540745/article/details/51918004" target="_blank" title="sobel算子原理与实现 - 五仁月饼哭了的博客">
<h4 class="text-truncate oneline" style="width: 751px;">
<em>sobel算子</em>原理与实现 - 五仁月饼哭了的博客 </h4>
<p class="info-box d-flex align-content-center">
<!-- <p class="avatar">
<img src="https://avatar.csdn.net/7/5/A/3_qq_29540745.jpg" alt="qq_29540745" class="avatar-pic">
<span class="namebox">
<span class="name">qq_29540745</span>
<span class="triangle"></span>
</span>
</p> -->
<p class="date-and-readNum">
<span class="date hover-show">07-15</span>
<span class="read-num hover-hide">
<svg class="icon csdnc-yuedushu" aria-hidden="true">
<use xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="#csdnc-m-passwords-visible"></use>
</svg>
4435</span>
</p>
</p>
</a>
<p class="content" style="width: 842px;">
<a href="https://blog.csdn.net/qq_29540745/article/details/51918004" target="_blank" title="sobel算子原理与实现 - 五仁月饼哭了的博客">
<span class="desc oneline">一、原理:
首先介绍背景知识:
1)边缘:灰度或结构等信息的突变处,边缘是一个区域的结束,也是另一个区域的开始,利用该特征可以分割图像。
2)边缘点:图像中具有坐标[x,y],且处在…
来自: 五仁月饼哭了的博客
<p class="recommend-item-box recommend-box-ident type_blog clearfix" data-track-view="{"mod":"popu_387","con":",https://blog.csdn.net/xddwz/article/details/78006655,BlogCommendFromBaidu_11,index_11"}" data-track-click="{"mod":"popu_387","con":",https://blog.csdn.net/xddwz/article/details/78006655,BlogCommendFromBaidu_11,index_11"}" data-flg="true">
<p class="content" style="width: 842px;">
<a href="https://blog.csdn.net/xddwz/article/details/78006655" target="_blank" title="边缘检测:Sobel算子 - xddwz的博客">
<h4 class="text-truncate oneline" style="width: 751px;">
边缘检测:<em>Sobel算子</em> - xddwz的博客 </h4>
<p class="info-box d-flex align-content-center">
<!-- <p class="avatar">
<img src="https://avatar.csdn.net/E/E/C/3_xddwz.jpg" alt="xddwz" class="avatar-pic">
<span class="namebox">
<span class="name">xddwz</span>
<span class="triangle"></span>
</span>
</p> -->
<p class="date-and-readNum">
<span class="date hover-show">09-16</span>
<span class="read-num hover-hide">
<svg class="icon csdnc-yuedushu" aria-hidden="true">
<use xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="#csdnc-m-passwords-visible"></use>
</svg>
8738</span>
</p>
</p>
</a>
<p class="content" style="width: 842px;">
<a href="https://blog.csdn.net/xddwz/article/details/78006655" target="_blank" title="边缘检测:Sobel算子 - xddwz的博客">
<span class="desc oneline">.Sobel算子
其主要用于边缘检测,在技术上它是以离散型的差分算子,用来运算图像亮度函数的梯度的近似值, Sobel算子是典型的基于一阶导数的边缘检测算子,由于该算子中引入了类似局...</span>
</a>
<span class="blog_title_box oneline"><a target="_blank" href="https://blog.csdn.net/xddwz">来自: <span class="blog_title"> xddwz的博客</span></a></span>
</p>
</p>
</p>
<p class="recommend-item-box recommend-box-ident type_blog clearfix" data-track-view="{"mod":"popu_387","con":",https://blog.csdn.net/github_38140310/article/details/68959931,BlogCommendFromBaidu_13,index_12"}" data-track-click="{"mod":"popu_387","con":",https://blog.csdn.net/github_38140310/article/details/68959931,BlogCommendFromBaidu_13,index_12"}" data-flg="true">
<p class="content" style="width: 842px;">
<a href="https://blog.csdn.net/github_38140310/article/details/68959931" target="_blank" title="sobel算法 - 杨燕丹的博客(小笨丹的奋斗史)">
<h4 class="text-truncate oneline" style="width: 751px;">
sobel算法 - 杨燕丹的博客(小笨丹的奋斗史) </h4>
<p class="info-box d-flex align-content-center">
<!-- <p class="avatar">
<img src="https://avatar.csdn.net/E/6/9/3_github_38140310.jpg" alt="github_38140310" class="avatar-pic">
<span class="namebox">
<span class="name">github_38140310</span>
<span class="triangle"></span>
</span>
</p> -->
<p class="date-and-readNum">
<span class="date hover-show">04-03</span>
<span class="read-num hover-hide">
<svg class="icon csdnc-yuedushu" aria-hidden="true">
<use xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="#csdnc-m-passwords-visible"></use>
</svg>
2478</span>
</p>
</p>
</a>
<p class="content" style="width: 842px;">
<a href="https://blog.csdn.net/github_38140310/article/details/68959931" target="_blank" title="sobel算法 - 杨燕丹的博客(小笨丹的奋斗史)">
<span class="desc oneline">本文代码来自sobel导数,该网站对OpenCV上图像处理的算法说明都很详细。如下:
Sobel 导数
目标
本文档尝试解答如下问题:
如何使用OpenCV函数Sob…
来自: 杨燕丹的博客
<p class="recommend-item-box recommend-ad-box"><p id="kp_box_557" data-pid="61" data-track-view="{"mod":"kp_popu_557","con":",,"}"><p class="mediav_ad"><newsfeed class="newsfeed QIHOO__WEB__SO__1541726843427_44" id="QIHOO__WEB__SO__1541726843427_44" style="display:block;margin:0;padding:0;border:none;width:900px;height:84px;overflow-y:hidden;overflow-x:hidden;position:relative;text-align:left;"><info-p id="QIHOO__WEB__SO__1541726843427_44-info" style="zoom:1"><info-p class="QIHOO__WEB__SO__1541726843427_44 singleImage clk" data-href="https://ssxd.mediav.com/s?type=2&r=20&mv_ref=blog.csdn.net&enup=CAABe5cVlggAApYVl3sA&mvid=NjU2MTg3MjUxNTc0OTE0MTEwNzAwMTg&bid=12b4a13f11269071&price=AAAAAFvk4nwAAAAAAAnT/XoY2aywwMeLsBx5/A==&finfo=DAABCAABAAAAlggAAgAAAKAEAAM/TrncPWobygAIAAIAAAADCgADTVzGZp4KQCkIAAQAAACgBgAGLbcIAAgAFuNgCgAJAAAAAAACEBgGAAoAAAA&ugi=FcTgigEVyNtrTBUCFcoEFcoEFQAAFZzaw7EHFgQVyAEA&uai=FaixkwIlAhUEFr7/oJ29jdrcmgEV8ggl96qj+wolABUaAA&ubi=Fd7yIRWSoIUCFfKX3BQVlOi1UxUEFRwW6Myt2RQWvv/K69CZ49yaATQEFrDAECUGFfPt0+kDFWoVADacq42I9ZCM4pgBAA&clickid=0&cpx=__OFFSET_X__&cpy=__OFFSET_Y__&cs=__EVENT_TIME_START__&ce=__EVENT_TIME_END__&csign=9523867093f1f425&url=http%3A%2F%2Fwww.qdloobojy.com" data-pv="https://ssxd.mediav.com/s?type=1&r=20&tid=NjU2MTg3MjUxNTc0OTE0MTEwNzAwMTg&finfo=DAABCAABAAAAlggAAgAAAKAEAAM/TrncPWobygAIAAIAAAADCgADTVzGZp4KQCkIAAQAAACgBgAGLbcIAAgAFuNgCgAJAAAAAAACEBgGAAoAAAA&mv_ref=blog.csdn.net&enup=CAABe5cVlggAApYVl3sA&mvid=NjU2MTg3MjUxNTc0OTE0MTEwNzAwMTg&bid=12b4a13f11269071&ugi=FcTgigEVyNtrTBUCFcoEFcoEFQAAFZzaw7EHFgQVyAEA&uai=FaixkwIlAhUEFr7/oJ29jdrcmgEV8ggl96qj+wolABUaAA&ubi=Fd7yIRWSoIUCFfKX3BQVlOi1UxUEFRwW6Myt2RQWvv/K69CZ49yaATQEFrDAECUGFfPt0+kDFWoVADacq42I9ZCM4pgBAA&ds=2&price=AAAAAFvk4nwAAAAAAAnT/XoY2aywwMeLsBx5/A==,https://max-l.mediav.com/rtb?type=2&d=100&b=12b4a13f11269071&p=2255956&l=1136674&s=2&z=1&w=AAAAAFvk4nwAAAAAAAnUKCBd9NXE01Ub9iKMmg==&k=Bj1AaQAAAAA=&i=LtG7CBl9HJNx&v=65618725157491411070018" data-clk="https://max-l.mediav.com/rtb?type=3&d=100&b=12b4a13f11269071&p=2255956&l=1136674&s=2&k=Bj1AaQAAAAA=&i=LtG7CBl9HJNx&v=65618725157491411070018&x=__OFFSET_X__&y=__OFFSET_Y__&st=__EVENT_TIME_START__&et=__EVENT_TIME_END__&tc=&turl=">
<info-p class="wrap">
<info-p class="singleImage-img singleImage-img-left">
<info-p class="img" style="background-image:url(https://s3m.mediav.com/galileo/277679-92ff81ea07b3afff7744cee3b68e3b85.jpg)"><info-p class="ads-tag"></info-p></info-p>
</info-p>
<info-p class="singleImage-body singleImage-body-left">
<info-p class="singleImage-title">环保设备哪家好?大家的一致选择!您选我们不吃亏</info-p>
<info-p class="singleImage-desc">青岛LOOBO · 顶新</info-p>
</info-p>
<p class="recommend-item-box recommend-box-ident type_blog clearfix" data-track-view="{"mod":"popu_387","con":",https://blog.csdn.net/swj110119/article/details/51777422,BlogCommendFromBaidu_14,index_13"}" data-track-click="{"mod":"popu_387","con":",https://blog.csdn.net/swj110119/article/details/51777422,BlogCommendFromBaidu_14,index_13"}" data-flg="true">
<p class="content" style="width: 842px;">
<a href="https://blog.csdn.net/swj110119/article/details/51777422" target="_blank" title="梯度与Roberts、Prewitt、Sobel、Lapacian算子 - just do it(make a little progress every day)">
<h4 class="text-truncate oneline" style="width: 749px;">
梯度与Roberts、Prewitt、Sobel、Lapacian算子 - just do it(make a little progress every day) </h4>
<p class="info-box d-flex align-content-center">
<!-- <p class="avatar">
<img src="https://avatar.csdn.net/0/2/6/3_swj110119.jpg" alt="swj110119" class="avatar-pic">
<span class="namebox">
<span class="name">swj110119</span>
<span class="triangle"></span>
</span>
</p> -->
<p class="date-and-readNum">
<span class="date hover-show">06-29</span>
<span class="read-num hover-hide">
<svg class="icon csdnc-yuedushu" aria-hidden="true">
<use xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="#csdnc-m-passwords-visible"></use>
</svg>
3.9万</span>
</p>
</p>
</a>
<p class="content" style="width: 842px;">
<a href="https://blog.csdn.net/swj110119/article/details/51777422" target="_blank" title="梯度与Roberts、Prewitt、Sobel、Lapacian算子 - just do it(make a little progress every day)">
<span class="desc oneline">一、学习心得:
学习图像处理的过程中,刚开始遇到图像梯度和一些算子的概念,这两者到底是什么关系,又有什么不同,一直困扰着我。后来在看到图像分割这一模块后才恍然大悟,其实图像的梯度可以用...</span>
</a>
<span class="blog_title_box oneline"><a target="_blank" href="https://blog.csdn.net/swj110119">来自: <span class="blog_title"> Just Do It</span></a></span>
</p>
</p>
</p>
<p class="recommend-item-box recommend-box-ident type_blog clearfix" data-track-view="{"mod":"popu_387","con":",https://blog.csdn.net/jaych/article/details/49516095,BlogCommendFromBaidu_15,index_14"}" data-track-click="{"mod":"popu_387","con":",https://blog.csdn.net/jaych/article/details/49516095,BlogCommendFromBaidu_15,index_14"}" data-flg="true">
<p class="content" style="width: 842px;">
<a href="https://blog.csdn.net/jaych/article/details/49516095" target="_blank" title="【图像处理】sobel算子简述 - image(make it wonderful)">
<h4 class="text-truncate oneline" style="width: 751px;">
【图像处理】<em>sobel算子</em>简述 - image(make it wonderful) </h4>
<p class="info-box d-flex align-content-center">
<!-- <p class="avatar">
<img src="https://avatar.csdn.net/B/1/7/3_jaych.jpg" alt="jaych" class="avatar-pic">
<span class="namebox">
<span class="name">jaych</span>
<span class="triangle"></span>
</span>
</p> -->
<p class="date-and-readNum">
<span class="date hover-show">03-14</span>
<span class="read-num hover-hide">
<svg class="icon csdnc-yuedushu" aria-hidden="true">
<use xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="#csdnc-m-passwords-visible"></use>
</svg>
7592</span>
</p>
</p>
</a>
<p class="content" style="width: 842px;">
<a href="https://blog.csdn.net/jaych/article/details/49516095" target="_blank" title="【图像处理】sobel算子简述 - image(make it wonderful)">
<span class="desc oneline">sobel算子是什么在图像处理上,算子一般也可以认为是滤波器filter,滤波器就是在一个像素点上对它进行与邻域之间的运算。如中值滤波,就是在以像素点为中心,上下左右左上左下右上右下为邻域的集合里,如...</span>
</a>
<span class="blog_title_box oneline"><a target="_blank" href="https://blog.csdn.net/jaych">来自: <span class="blog_title"> Image</span></a></span>
</p>
</p>
</p>
<p class="recommend-item-box recommend-box-ident" data-track-view="{"mod":"popu_387","con":",https://download.csdn.net/download/liuchenlonglcl/3446503,searchFromBaidu_16,index_15"}" data-track-click="{"mod":"popu_387","con":",https://download.csdn.net/download/liuchenlonglcl/3446503,searchFromBaidu_16,index_15"}" data-flg="true">
<a href="https://download.csdn.net/download/liuchenlonglcl/3446503" target="_blank">
<h4 class="text-truncate oneline" style="width: 706px;">
基于matlab的<em>sobel算子</em>(模板) - - </h4>
<p class="info-box d-flex align-content-center">
<p>
<span class="read-num">下载</span>
</p>
<p>
<span class="date">07-16</span>
</p>
</p>
<p class="content oneline" style="width: 842px;">
基于sobel算子的MATLAB 实现,自己编写的,每调用函数,希望对大家有用。 </p>
</a>
</p>
<p class="recommend-item-box recommend-box-ident recommend-download-box clearfix" data-track-view="{"mod":"popu_387","con":",https://download.csdn.net/download/peimean/2334866,BlogCommendFromQuerySearch_17,index_16"}" data-track-click="{"mod":"popu_387","con":",https://download.csdn.net/download/peimean/2334866,BlogCommendFromQuerySearch_17,index_16"}" data-flg="true">
<a href="https://download.csdn.net/download/peimean/2334866" target="_blank">
<p class="content">
<p class="">
<span class="type">下载</span>
<h4 class="text-truncate oneline clearfix">
<em>matlab实现</em>边缘提取 - - </h4>
<span class="data float-right">05-10</span>
</p>
<p class="desc oneline">
matlab实现边缘提取,例sobel算子等 </p>
</p>
</a>
</p>
<p class="recommend-item-box recommend-box-ident recommend-download-box clearfix" data-track-view="{"mod":"popu_387","con":",https://download.csdn.net/download/u010347353/7145007,BlogCommendFromQuerySearch_18,index_17"}" data-track-click="{"mod":"popu_387","con":",https://download.csdn.net/download/u010347353/7145007,BlogCommendFromQuerySearch_18,index_17"}" data-flg="true">
<a href="https://download.csdn.net/download/u010347353/7145007" target="_blank">
<p class="content">
<p class="">
<span class="type">下载</span>
<h4 class="text-truncate oneline clearfix">
sobel matlab程序 - - </h4>
<span class="data float-right">04-04</span>
</p>
<p class="desc oneline">
sobel算子matlab实现 调试通过可以使用 </p>
</p>
</a>
</p>
<p class="recommend-item-box recommend-ad-box"><p id="kp_box_623" data-pid="62" data-track-view="{"mod":"kp_popu_623","con":",,"}"><p id="_v5tr55zk5q9"><abbr style="width:0px;height:0px;margin-bottom:0px;"></abbr><iframe width="852" frameborder="0" height="60" scrolling="no" src="https://rabc2.iteye.com/gymzrbw?ros=XR&gsn=ZWT&ns=LUWXWUSS&vde=8KKGJ0U-0Td0Td2CF70y3J4E0yE5K0TdQ8L61EH950Td1IK93C50Td45K19CJ0TdZYR__SR&ndw=frkjynmqr&dzb=SWVSYTXZVUWTZ&zcc=SUZUOW_XV&nm=U&zsc=zSOzS&nsc=R&zkb=SVVROZXR&zmc=SUZUOYYR&nks=S&kxd=S&zbyd=T&nbs=R&kbs=T&zc=USZZOVS_&ohzc=SSSRRT&mom=srdzZ&swt=1"></iframe></p><script type="text/javascript" src="https://rabc1.iteye.com/production/dkjgal.js?cxpuwupg=g"></script></p><script>$(function(){csdn.track.viewCheck($("#kp_box_623"));});</script></p>
<p class="recommend-item-box recommend-box-ident recommend-download-box clearfix" data-track-view="{"mod":"popu_387","con":",https://download.csdn.net/download/FFt_serAph/667293,BlogCommendFromQuerySearch_19,index_18"}" data-track-click="{"mod":"popu_387","con":",https://download.csdn.net/download/FFt_serAph/667293,BlogCommendFromQuerySearch_19,index_18"}" data-flg="true">
<a href="https://download.csdn.net/download/FFt_serAph/667293" target="_blank">
<p class="content">
<p class="">
<span class="type">下载</span>
<h4 class="text-truncate oneline clearfix">
<em>Sobel算子</em>图像边缘提取Matlab代码 - fftseraph </h4>
<span class="data float-right">10-05</span>
</p>
<p class="desc oneline">
在图像处理中,使用Sobel算子进行边缘提取的Matlab代码。 </p>
</p>
</a>
</p>
<p class="recommend-item-box recommend-box-ident type_blog clearfix" data-track-view="{"mod":"popu_387","con":",https://blog.csdn.net/asd136912/article/details/78162199,BlogCommendFromQuerySearch_20,index_19"}" data-track-click="{"mod":"popu_387","con":",https://blog.csdn.net/asd136912/article/details/78162199,BlogCommendFromQuerySearch_20,index_19"}" data-flg="true">
<p class="content" style="width: 842px;">
<a href="https://blog.csdn.net/asd136912/article/details/78162199" target="_blank" title="Matlab使用Prewitte算子进行边缘检测 - 小鹅鹅的博客(兴趣使然的博主,简书据点:http://www.jianshu.com/u/e548b97dc9e5)">
<h4 class="text-truncate oneline" style="width: 759px;">
Matlab使用Prewitte算子进行边缘检测 - 小鹅鹅的博客(兴趣使然的博主,简书据点:http://www.jianshu.com/u/e548b97dc9e5) </h4>
<p class="info-box d-flex align-content-center">
<!-- <p class="avatar">
<img src="https://avatar.csdn.net/9/C/2/3_asd136912.jpg" alt="asd136912" class="avatar-pic">
<span class="namebox">
<span class="name">asd136912</span>
<span class="triangle"></span>
</span>
</p> -->
<p class="date-and-readNum">
<span class="date hover-show">10-05</span>
<span class="read-num hover-hide">
<svg class="icon csdnc-yuedushu" aria-hidden="true">
<use xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="#csdnc-m-passwords-visible"></use>
</svg>
400</span>
</p>
</p>
</a>
<p class="content" style="width: 842px;">
<a href="https://blog.csdn.net/asd136912/article/details/78162199" target="_blank" title="Matlab使用Prewitte算子进行边缘检测 - 小鹅鹅的博客(兴趣使然的博主,简书据点:http://www.jianshu.com/u/e548b97dc9e5)">
<span class="desc oneline">算子比较比较常见的边缘检测算子有Roberts、Prewitt和Sobel。这里给出一些简单比较,定义与实现...</span>
</a>
<span class="blog_title_box oneline"><a target="_blank" href="https://blog.csdn.net/asd136912">来自: <span class="blog_title"> 小鹅鹅的博客</span></a></span>
</p>
</p>
</p>
<p class="recommend-item-box recommend-box-ident recommend-download-box clearfix" data-track-view="{"mod":"popu_387","con":",https://download.csdn.net/download/hedelong92/3773484,BlogCommendFromBaidu_21,index_20"}" data-track-click="{"mod":"popu_387","con":",https://download.csdn.net/download/hedelong92/3773484,BlogCommendFromBaidu_21,index_20"}" data-flg="true">
<a href="https://download.csdn.net/download/hedelong92/3773484" target="_blank">
<p class="content">
<p class="">
<span class="type">下载</span>
<h4 class="text-truncate oneline clearfix">
关于<em>sobel算子</em>的Matlab文件 - - </h4>
<span class="data float-right">11-09</span>
</p>
<p class="desc oneline">
sobel算子的编写,用于图像处理中的边缘检测很有帮助 </p>
</p>
</a>
</p>
<p class="recommend-item-box recommend-box-ident recommend-download-box clearfix" data-track-view="{"mod":"popu_387","con":",https://download.csdn.net/download/qq_32190961/9806321,BlogCommendFromBaidu_22,index_21"}" data-track-click="{"mod":"popu_387","con":",https://download.csdn.net/download/qq_32190961/9806321,BlogCommendFromBaidu_22,index_21"}" data-flg="true">
<a href="https://download.csdn.net/download/qq_32190961/9806321" target="_blank">
<p class="content">
<p class="">
<span class="type">下载</span>
<h4 class="text-truncate oneline clearfix">
<em>Sobel算子</em>C++源码 - gd-oxy </h4>
<span class="data float-right">04-07</span>
</p>
<p class="desc oneline">
Sobel算子C++源码在vs2015中可用 </p>
</p>
</a>
</p>
<p class="recommend-item-box recommend-box-ident recommend-download-box clearfix" data-track-view="{"mod":"popu_387","con":",https://download.csdn.net/download/nature1_1/8651471,BlogCommendFromBaidu_23,index_22"}" data-track-click="{"mod":"popu_387","con":",https://download.csdn.net/download/nature1_1/8651471,BlogCommendFromBaidu_23,index_22"}" data-flg="true">
<a href="https://download.csdn.net/download/nature1_1/8651471" target="_blank">
<p class="content">
<p class="">
<span class="type">下载</span>
<h4 class="text-truncate oneline clearfix">
matlab的Roberts,prewitt,Sobel,Laplacian算子程序 - nature1_1 </h4>
<span class="data float-right">05-01</span>
</p>
<p class="desc oneline">
用matlab编写的Roberts,prewitt,Sobel,Laplacian算子程序,主要用于图像锐化代码,有效果图。 </p>
</p>
</a>
</p>
<p class="recommend-item-box recommend-ad-box"><p id="kp_box_624" data-pid="63" data-track-view="{"mod":"kp_popu_624","con":",,"}"><p style="width: 100%;"><iframe width="852" frameborder="0" height="60" scrolling="no" src="https://rabc2.iteye.com/ytxwhxwblw?ros=XR&gsn=ZWT&ns=LUWXWVWR&vde=8KKGJ0U-0Td0Td2CF70y3J4E0yE5K0TdQ8L61EH950Td1IK93C50Td45K19CJ0TdZYR__SR&ohzc=SSSRRT,SSZRRT&ndw=frkjynmqr&nks=T&nm=U&kxd=S&kbs=T&zkb=SVVROZXR&mom=srdzZ&zsc=zSOzS&dzb=SWVSYTXZVUWTZ&nsc=R&zcc=SVVSOVWTU&zc=UXVTOVS_&nbs=R&zmc=SUZUOYWU&zbyd=T&5210=41rgd&nh10=pft4&5e7=sepm&swt=1"></iframe></p><script type="text/JavaScript" src="https://rabc1.iteye.com/common/js/f85at.js?gbtyay=xyh"></script></p><script>$(function(){csdn.track.viewCheck($("#kp_box_624"));});</script></p>
<p class="recommend-item-box recommend-box-ident type_blog clearfix" data-track-view="{"mod":"popu_387","con":",https://blog.csdn.net/chilian12321/article/details/80763999,BlogCommendFromBaidu_24,index_23"}" data-track-click="{"mod":"popu_387","con":",https://blog.csdn.net/chilian12321/article/details/80763999,BlogCommendFromBaidu_24,index_23"}" data-flg="true">
<p class="content" style="width: 842px;">
<a href="https://blog.csdn.net/chilian12321/article/details/80763999" target="_blank" title="sobel代码实现 - chilian12321的博客">
<h4 class="text-truncate oneline" style="width: 759px;">
sobel代码实现 - chilian12321的博客 </h4>
<p class="info-box d-flex align-content-center">
<!-- <p class="avatar">
<img src="https://avatar.csdn.net/C/7/8/3_chilian12321.jpg" alt="chilian12321" class="avatar-pic">
<span class="namebox">
<span class="name">chilian12321</span>
<span class="triangle"></span>
</span>
</p> -->
<p class="date-and-readNum">
<span class="date hover-show">06-21</span>
<span class="read-num hover-hide">
<svg class="icon csdnc-yuedushu" aria-hidden="true">
<use xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="#csdnc-m-passwords-visible"></use>
</svg>
241</span>
</p>
</p>
</a>
<p class="content" style="width: 842px;">
<a href="https://blog.csdn.net/chilian12321/article/details/80763999" target="_blank" title="sobel代码实现 - chilian12321的博客">
<span class="desc oneline">Sobel主要用于初步寻找图像的边缘信息,同时也可以起到图像锐化作用。常用的3*3的模板卷积实现,主要是通过水平和垂直两个方向卷积实现。#include &amp;lt;opencv2/opencv....</span>
</a>
<span class="blog_title_box oneline"><a target="_blank" href="https://blog.csdn.net/chilian12321">来自: <span class="blog_title"> chilian12321的博客</span></a></span>
</p>
</p>
</p>
<p class="recommend-item-box recommend-box-ident type_blog clearfix" data-track-view="{"mod":"popu_387","con":",https://blog.csdn.net/linqianbi/article/details/78673903,BlogCommendFromBaidu_25,index_24"}" data-track-click="{"mod":"popu_387","con":",https://blog.csdn.net/linqianbi/article/details/78673903,BlogCommendFromBaidu_25,index_24"}" data-flg="true">
<p class="content" style="width: 842px;">
<a href="https://blog.csdn.net/linqianbi/article/details/78673903" target="_blank" title="Sobel算子的理解 - linqianbi的博客">
<h4 class="text-truncate oneline" style="width: 751px;">
<em>Sobel算子</em>的理解 - linqianbi的博客 </h4>
<p class="info-box d-flex align-content-center">
<!-- <p class="avatar">
<img src="https://avatar.csdn.net/2/E/9/3_linqianbi.jpg" alt="linqianbi" class="avatar-pic">
<span class="namebox">
<span class="name">linqianbi</span>
<span class="triangle"></span>
</span>
</p> -->
<p class="date-and-readNum">
<span class="date hover-show">11-30</span>
<span class="read-num hover-hide">
<svg class="icon csdnc-yuedushu" aria-hidden="true">
<use xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="#csdnc-m-passwords-visible"></use>
</svg>
2489</span>
</p>
</p>
</a>
<p class="content" style="width: 842px;">
<a href="https://blog.csdn.net/linqianbi/article/details/78673903" target="_blank" title="Sobel算子的理解 - linqianbi的博客">
<span class="desc oneline">sobel算子主要用于获得数字图像的一阶梯度,常见的应用和物理意义是边缘检测。
原理
算子使用两个33的矩阵(图1)算子使用两个33的矩阵(图1)去和原始图片作卷积,分别得到横向G(x)和…
来自: linqianbi的博客
<p class="recommend-item-box recommend-box-ident type_blog clearfix" data-track-view="{"mod":"popu_387","con":",https://blog.csdn.net/dcrmg/article/details/52280768,BlogCommendFromBaidu_26,index_25"}" data-track-click="{"mod":"popu_387","con":",https://blog.csdn.net/dcrmg/article/details/52280768,BlogCommendFromBaidu_26,index_25"}" data-flg="true">
<p class="content" style="width: 842px;">
<a href="https://blog.csdn.net/dcrmg/article/details/52280768" target="_blank" title="Sobel算子及C++实现 - 牧野的博客">
<h4 class="text-truncate oneline" style="width: 749px;">
<em>Sobel算子</em>及C++实现 - 牧野的博客 </h4>
<p class="info-box d-flex align-content-center">
<!-- <p class="avatar">
<img src="https://avatar.csdn.net/A/8/1/3_dcrmg.jpg" alt="dcrmg" class="avatar-pic">
<span class="namebox">
<span class="name">dcrmg</span>
<span class="triangle"></span>
</span>
</p> -->
<p class="date-and-readNum">
<span class="date hover-show">08-22</span>
<span class="read-num hover-hide">
<svg class="icon csdnc-yuedushu" aria-hidden="true">
<use xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="#csdnc-m-passwords-visible"></use>
</svg>
1.3万</span>
</p>
</p>
</a>
<p class="content" style="width: 842px;">
<a href="https://blog.csdn.net/dcrmg/article/details/52280768" target="_blank" title="Sobel算子及C++实现 - 牧野的博客">
<span class="desc oneline">Sobel 算子是一个离散的一阶微分算子,用来计算图像灰度函数的近似梯度。
在空间域上Sobel算子很容易实现,执行速度快,对部分噪声具有平滑作用,还能够提供较为精确的边缘方向信息,缺点是边缘定位精…
来自: 牧野的博客
<p class="recommend-item-box recommend-box-ident type_blog clearfix" data-track-view="{"mod":"popu_387","con":",https://blog.csdn.net/GoodShot/article/details/10169647,BlogCommendFromBaidu_27,index_26"}" data-track-click="{"mod":"popu_387","con":",https://blog.csdn.net/GoodShot/article/details/10169647,BlogCommendFromBaidu_27,index_26"}" data-flg="true">
<p class="content" style="width: 842px;">
<a href="https://blog.csdn.net/GoodShot/article/details/10169647" target="_blank" title="Sobel两种算子形式 - goodshot的专栏(追赶,超越)">
<h4 class="text-truncate oneline" style="width: 751px;">
Sobel两种算子形式 - goodshot的专栏(追赶,超越) </h4>
<p class="info-box d-flex align-content-center">
<!-- <p class="avatar">
<img src="https://avatar.csdn.net/4/B/B/3_goodshot.jpg" alt="GoodShot" class="avatar-pic">
<span class="namebox">
<span class="name">GoodShot</span>
<span class="triangle"></span>
</span>
</p> -->
<p class="date-and-readNum">
<span class="date hover-show">08-22</span>
<span class="read-num hover-hide">
<svg class="icon csdnc-yuedushu" aria-hidden="true">
<use xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="#csdnc-m-passwords-visible"></use>
</svg>
5957</span>
</p>
</p>
</a>
<p class="content" style="width: 842px;">
<a href="https://blog.csdn.net/GoodShot/article/details/10169647" target="_blank" title="Sobel两种算子形式 - goodshot的专栏(追赶,超越)">
<span class="desc oneline">参看:http://blog.csdn.net/goodshot/article/details/10169619
Sobel算子也有两个,一个是检测水平边缘的模板,另一个是检测水平边…
来自: GoodShot的专栏
<p class="recommend-item-box recommend-box-ident type_blog clearfix" data-track-view="{"mod":"popu_387","con":",https://blog.csdn.net/humanking7/article/details/46606791,BlogCommendFromBaidu_28,index_27"}" data-track-click="{"mod":"popu_387","con":",https://blog.csdn.net/humanking7/article/details/46606791,BlogCommendFromBaidu_28,index_27"}" data-flg="true">
<p class="content" style="width: 842px;">
<a href="https://blog.csdn.net/humanking7/article/details/46606791" target="_blank" title="[图像]Canny检测的Matlab实现(含代码) - 祥的专栏(学不可以已)">
<h4 class="text-truncate oneline" style="width: 749px;">
[图像]Canny检测的<em>Matlab实现</em>(含代码) - 祥的专栏(学不可以已) </h4>
<p class="info-box d-flex align-content-center">
<!-- <p class="avatar">
<img src="https://avatar.csdn.net/D/C/4/3_humanking7.jpg" alt="humanking7" class="avatar-pic">
<span class="namebox">
<span class="name">humanking7</span>
<span class="triangle"></span>
</span>
</p> -->
<p class="date-and-readNum">
<span class="date hover-show">06-23</span>
<span class="read-num hover-hide">
<svg class="icon csdnc-yuedushu" aria-hidden="true">
<use xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="#csdnc-m-passwords-visible"></use>
</svg>
3.2万</span>
</p>
</p>
</a>
<p class="content" style="width: 842px;">
<a href="https://blog.csdn.net/humanking7/article/details/46606791" target="_blank" title="[图像]Canny检测的Matlab实现(含代码) - 祥的专栏(学不可以已)">
<span class="desc oneline">图象的边缘是指图象局部区域亮度变化显著的部分,该区域的灰度剖面一般可以看作是一个阶跃,既从一个灰度值在很小的缓冲区域内急剧变化到另一个灰度相差较大的灰度值。Canny边缘检测基本特征如下:(1) 必须...</span>
</a>
<span class="blog_title_box oneline"><a target="_blank" href="https://blog.csdn.net/humanking7">来自: <span class="blog_title"> 祥的专栏</span></a></span>
</p>
</p>
</p>
<p class="recommend-item-box recommend-ad-box"><p id="kp_box_626" data-pid="64" data-track-view="{"mod":"kp_popu_626","con":",,"}"><p><p><iframe width="852" frameborder="0" height="60" scrolling="no" src="https://rabc2.iteye.com/lztmg?ros=XR&gsn=ZWT&ns=LUWXWWZY&vde=8KKGJ0U-0Td0Td2CF70y3J4E0yE5K0TdQ8L61EH950Td1IK93C50Td45K19CJ0TdZYR__SR&nks=U&ndw=frkjynmqr&nbs=R&zkb=SVVROZXR&kxd=S&mom=srdzZ&zsc=zSOzS&zmc=SUZUOYYR&nm=U&ohzc=SSSRRT&zc=VSVZOVS_&dzb=SWVSYTXZVUWTZ&zcc=SUZUOXRUR&kbs=T&zbyd=T&nsc=R&kl6=jkwh&n610=9o5uk&0s5=1k05h&i09=k0uus&swt=1"></iframe></p></p><script type="text/javascript" src="https://rabc1.iteye.com/production/wxzgt3.js?rme=jljjon"></script></p><script>$(function(){csdn.track.viewCheck($("#kp_box_626"));});</script></p>
<p class="recommend-item-box recommend-box-ident recommend-download-box clearfix" data-track-view="{"mod":"popu_387","con":",https://download.csdn.net/download/lrx326256138/3930687,BlogCommendFromQuerySearch_29,index_28"}" data-track-click="{"mod":"popu_387","con":",https://download.csdn.net/download/lrx326256138/3930687,BlogCommendFromQuerySearch_29,index_28"}" data-flg="true">
<a href="https://download.csdn.net/download/lrx326256138/3930687" target="_blank">
<p class="content">
<p class="">
<span class="type">下载</span>
<h4 class="text-truncate oneline clearfix">
用<em>MATLAB实现</em>图像锐化的程序代码.m - - </h4>
<span class="data float-right">12-16</span>
</p>
<p class="desc oneline">
用MATLAB实现图像锐化的程序,包括sobel算子锐化、laplace算子锐化 </p>
</p>
</a>
</p>
<p class="recommend-item-box recommend-box-ident recommend-download-box clearfix" data-track-view="{"mod":"popu_387","con":",https://download.csdn.net/download/iamlinweiyi/2861291,BlogCommendFromQuerySearch_30,index_29"}" data-track-click="{"mod":"popu_387","con":",https://download.csdn.net/download/iamlinweiyi/2861291,BlogCommendFromQuerySearch_30,index_29"}" data-flg="true">
<a href="https://download.csdn.net/download/iamlinweiyi/2861291" target="_blank">
<p class="content">
<p class="">
<span class="type">下载</span>
<h4 class="text-truncate oneline clearfix">
Sobel 算子源代码 - - </h4>
<span class="data float-right">11-26</span>
</p>
<p class="desc oneline">
实现了sobel算子的matlab实现,简单,边缘检测后的图像具有细化边缘。 </p>
</p>
</a>
</p>
<p class="recommend-item-box recommend-box-ident type_blog clearfix" data-track-view="{"mod":"popu_387","con":",https://blog.csdn.net/u014395105/article/details/32328205,BlogCommendFromQuerySearch_31,index_30"}" data-track-click="{"mod":"popu_387","con":",https://blog.csdn.net/u014395105/article/details/32328205,BlogCommendFromQuerySearch_31,index_30"}" data-flg="true">
<p class="content" style="width: 842px;">
<a href="https://blog.csdn.net/u014395105/article/details/32328205" target="_blank" title="【OpenCV】Sobel算子理论与OpenCV代码实现 - u014395105的专栏">
<h4 class="text-truncate oneline" style="width: 751px;">
【OpenCV】<em>Sobel算子</em>理论与OpenCV代码实现 - u014395105的专栏 </h4>
<p class="info-box d-flex align-content-center">
<!-- <p class="avatar">
<img src="https://avatar.csdn.net/7/5/C/3_u014395105.jpg" alt="u014395105" class="avatar-pic">
<span class="namebox">
<span class="name">u014395105</span>
<span class="triangle"></span>
</span>
</p> -->
<p class="date-and-readNum">
<span class="date hover-show">06-19</span>
<span class="read-num hover-hide">
<svg class="icon csdnc-yuedushu" aria-hidden="true">
<use xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="#csdnc-m-passwords-visible"></use>
</svg>
2006</span>
</p>
</p>
</a>
<p class="content" style="width: 842px;">
<a href="https://blog.csdn.net/u014395105/article/details/32328205" target="_blank" title="【OpenCV】Sobel算子理论与OpenCV代码实现 - u014395105的专栏">
<span class="desc oneline">索贝尔算子(Sobeloperator)主要用作边缘检测,在技术上,它是一离散性差分算子,用来运算图像亮度函数的灰度之近似值。在图像的任何一点使用此算子,将会产生对应的灰度矢量或是其法矢量
So…
来自: u014395105的专栏
<p class="recommend-item-box recommend-box-ident recommend-download-box clearfix" data-track-view="{"mod":"popu_387","con":",https://download.csdn.net/download/fushi2010/3354177,BlogCommendFromQuerySearch_32,index_31"}" data-track-click="{"mod":"popu_387","con":",https://download.csdn.net/download/fushi2010/3354177,BlogCommendFromQuerySearch_32,index_31"}" data-flg="true">
<a href="https://download.csdn.net/download/fushi2010/3354177" target="_blank">
<p class="content">
<p class="">
<span class="type">下载</span>
<h4 class="text-truncate oneline clearfix">
用<em>MATLAB实现</em>图像锐化的程序代码 - - </h4>
<span class="data float-right">06-10</span>
</p>
<p class="desc oneline">
用MATLAB实现图像锐化的简单程序,其中包括sobel算子和拉普拉斯算子两种方法,采用调用MATLAB系统函数实现的。 </p>
</p>
</a>
</p>
<p class="recommend-item-box recommend-box-ident recommend-download-box clearfix" data-track-view="{"mod":"popu_387","con":",https://download.csdn.net/download/u010928860/5526603,BlogCommendFromQuerySearch_33,index_32"}" data-track-click="{"mod":"popu_387","con":",https://download.csdn.net/download/u010928860/5526603,BlogCommendFromQuerySearch_33,index_32"}" data-flg="true">
<a href="https://download.csdn.net/download/u010928860/5526603" target="_blank">
<p class="content">
<p class="">
<span class="type">下载</span>
<h4 class="text-truncate oneline clearfix">
<em>matlab实现</em>的区域增长和分水岭算法 - - </h4>
<span class="data float-right">06-05</span>
</p>
<p class="desc oneline">
matlab实现的区域增长和分水岭算法,以及基于sobel算子,prewitt算子,canny算子,log算子的边缘检测算法。 </p>
</p>
</a>
</p>
<p class="recommend-item-box recommend-ad-box"><p id="kp_box_625" data-pid="65" data-track-view="{"mod":"kp_popu_625","con":",,"}"><p id="_k4m9gze5kv"><iframe width="852" frameborder="0" height="60" scrolling="no" src="https://rabc2.iteye.com/rsgjfb?ros=XR&gsn=ZWT&ns=LUWXWVXR&vde=8KKGJ0U-0Td0Td2CF70y3J4E0yE5K0TdQ8L61EH950Td1IK93C50Td45K19CJ0TdZYR__SR&zkb=SVVROZXR&nks=V&kbs=T&zcc=SUZUOXR_X&dzb=SWVSYTXZVUWTZ&nsc=R&ndw=frkjynmqr&zbyd=T&zmc=SUZUOYYR&ohzc=SSSRRT&zsc=zSOzS&nbs=R&mom=srdzZ&nm=U&zc=VXUTOVS_&kxd=S&9f1=lwhi&nw2=vr8q&353=vpfye&w88=271c&swt=1"></iframe></p><script type="text/javascript" src="https://rabc1.iteye.com/common/openjs/m022.js?hcuzbzy=bi"></script></p><script>$(function(){csdn.track.viewCheck($("#kp_box_625"));});</script></p>
<p class="recommend-item-box recommend-box-ident type_blog clearfix" data-track-view="{"mod":"popu_387","con":",https://blog.csdn.net/u013322443/article/details/25290023,BlogCommendFromBaidu_34,index_33"}" data-track-click="{"mod":"popu_387","con":",https://blog.csdn.net/u013322443/article/details/25290023,BlogCommendFromBaidu_34,index_33"}" data-flg="true">
<p class="content" style="width: 842px;">
<a href="https://blog.csdn.net/u013322443/article/details/25290023" target="_blank" title="空间滤波(四) sobel 算子 - u013322443的专栏">
<h4 class="text-truncate oneline" style="width: 751px;">
空间滤波(四) sobel 算子 - u013322443的专栏 </h4>
<p class="info-box d-flex align-content-center">
<!-- <p class="avatar">
<img src="https://avatar.csdn.net/C/C/9/3_u013322443.jpg" alt="u013322443" class="avatar-pic">
<span class="namebox">
<span class="name">u013322443</span>
<span class="triangle"></span>
</span>
</p> -->
<p class="date-and-readNum">
<span class="date hover-show">05-08</span>
<span class="read-num hover-hide">
<svg class="icon csdnc-yuedushu" aria-hidden="true">
<use xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="#csdnc-m-passwords-visible"></use>
</svg>
1939</span>
</p>
</p>
</a>
<p class="content" style="width: 842px;">
<a href="https://blog.csdn.net/u013322443/article/details/25290023" target="_blank" title="空间滤波(四) sobel 算子 - u013322443的专栏">
<span class="desc oneline">ori_img=imread('Fig0342(a)(contact_lens_original).tif');
ori_img=mat2gray(ori_img); % 归一化 转化为double …
来自: u013322443的专栏
<p class="recommend-item-box recommend-box-ident recommend-download-box clearfix" data-track-view="{"mod":"popu_387","con":",https://download.csdn.net/download/mugworty/4753527,BlogCommendFromBaidu_35,index_34"}" data-track-click="{"mod":"popu_387","con":",https://download.csdn.net/download/mugworty/4753527,BlogCommendFromBaidu_35,index_34"}" data-flg="true">
<a href="https://download.csdn.net/download/mugworty/4753527" target="_blank">
<p class="content">
<p class="">
<span class="type">下载</span>
<h4 class="text-truncate oneline clearfix">
八方向<em>sobel算子</em>matlab代码 - - </h4>
<span class="data float-right">11-10</span>
</p>
<p class="desc oneline">
一种改进的八方向的sobel算子,matlab源代码 </p>
</p>
</a>
</p>
<p class="recommend-item-box recommend-box-ident type_blog clearfix" data-track-view="{"mod":"popu_387","con":",https://blog.csdn.net/renyuanxingxing/article/details/78816809,BlogCommendFromBaidu_36,index_35"}" data-track-click="{"mod":"popu_387","con":",https://blog.csdn.net/renyuanxingxing/article/details/78816809,BlogCommendFromBaidu_36,index_35"}" data-flg="true">
<p class="content" style="width: 842px;">
<a href="https://blog.csdn.net/renyuanxingxing/article/details/78816809" target="_blank" title="利用Sobel算子,求梯度图像 - 席小贱(记录学习点滴,与君共勉)">
<h4 class="text-truncate oneline" style="width: 751px;">
利用<em>Sobel算子</em>,求梯度图像 - 席小贱(记录学习点滴,与君共勉) </h4>
<p class="info-box d-flex align-content-center">
<!-- <p class="avatar">
<img src="https://avatar.csdn.net/4/B/F/3_renyuanxingxing.jpg" alt="renyuanxingxing" class="avatar-pic">
<span class="namebox">
<span class="name">renyuanxingxing</span>
<span class="triangle"></span>
</span>
</p> -->
<p class="date-and-readNum">
<span class="date hover-show">12-15</span>
<span class="read-num hover-hide">
<svg class="icon csdnc-yuedushu" aria-hidden="true">
<use xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="#csdnc-m-passwords-visible"></use>
</svg>
2949</span>
</p>
</p>
</a>
<p class="content" style="width: 842px;">
<a href="https://blog.csdn.net/renyuanxingxing/article/details/78816809" target="_blank" title="利用Sobel算子,求梯度图像 - 席小贱(记录学习点滴,与君共勉)">
<span class="desc oneline">学习了Sobel算子,总结一下
上图中的模板为Sobel算子,之所以其中的系数是这样的,是因为和求他们偏导邻域的近似形式有关,具体请看书。
自己编写的利用Sobel算子,求梯度图像的mat…
来自: 席小贱
<p class="recommend-item-box recommend-box-ident type_blog clearfix" data-track-view="{"mod":"popu_387","con":",https://blog.csdn.net/Z5337209/article/details/44202713,BlogCommendFromBaidu_37,index_36"}" data-track-click="{"mod":"popu_387","con":",https://blog.csdn.net/Z5337209/article/details/44202713,BlogCommendFromBaidu_37,index_36"}" data-flg="true">
<p class="content" style="width: 842px;">
<a href="https://blog.csdn.net/Z5337209/article/details/44202713" target="_blank" title="Matlab自己实现Sobel边缘提取和ROA边缘提取 - z5337209的专栏">
<h4 class="text-truncate oneline" style="width: 751px;">
Matlab自己实现Sobel边缘提取和ROA边缘提取 - z5337209的专栏 </h4>
<p class="info-box d-flex align-content-center">
<!-- <p class="avatar">
<img src="https://avatar.csdn.net/4/2/A/3_z5337209.jpg" alt="Z5337209" class="avatar-pic">
<span class="namebox">
<span class="name">Z5337209</span>
<span class="triangle"></span>
</span>
</p> -->
<p class="date-and-readNum">
<span class="date hover-show">03-11</span>
<span class="read-num hover-hide">
<svg class="icon csdnc-yuedushu" aria-hidden="true">
<use xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="#csdnc-m-passwords-visible"></use>
</svg>
3383</span>
</p>
</p>
</a>
<p class="content" style="width: 842px;">
<a href="https://blog.csdn.net/Z5337209/article/details/44202713" target="_blank" title="Matlab自己实现Sobel边缘提取和ROA边缘提取 - z5337209的专栏">
<span class="desc oneline">Sobel梯度强度图G
提取梯度强度本质是一种滤波,同高斯模糊滤波一样,只不过所用算子(kernel)不同,sobel梯度图所用的算子如下两个矩阵,分别同图像A做卷积,得到两个大小与A相…
来自: Z5337209的专栏
<p class="recommend-item-box recommend-box-ident type_blog clearfix" data-track-view="{"mod":"popu_387","con":",https://blog.csdn.net/u013018721/article/details/36674817,BlogCommendFromBaidu_38,index_37"}" data-track-click="{"mod":"popu_387","con":",https://blog.csdn.net/u013018721/article/details/36674817,BlogCommendFromBaidu_38,index_37"}" data-flg="true">
<p class="content" style="width: 842px;">
<a href="https://blog.csdn.net/u013018721/article/details/36674817" target="_blank" title="matlab---边缘之sobel简单实例 - vpoet(行到水穷处,坐看云起时。)">
<h4 class="text-truncate oneline" style="width: 751px;">
matlab---边缘之sobel简单实例 - vpoet(行到水穷处,坐看云起时。) </h4>
<p class="info-box d-flex align-content-center">
<!-- <p class="avatar">
<img src="https://avatar.csdn.net/2/0/B/3_u013018721.jpg" alt="u013018721" class="avatar-pic">
<span class="namebox">
<span class="name">u013018721</span>
<span class="triangle"></span>
</span>
</p> -->
<p class="date-and-readNum">
<span class="date hover-show">07-04</span>
<span class="read-num hover-hide">
<svg class="icon csdnc-yuedushu" aria-hidden="true">
<use xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="#csdnc-m-passwords-visible"></use>
</svg>
1468</span>
</p>
</p>
</a>
<p class="content" style="width: 842px;">
<a href="https://blog.csdn.net/u013018721/article/details/36674817" target="_blank" title="matlab---边缘之sobel简单实例 - vpoet(行到水穷处,坐看云起时。)">
<span class="desc oneline">最近在项目中需要做一些图像边缘检测的</span>
</a>
<span class="blog_title_box oneline"><a target="_blank" href="https://blog.csdn.net/u013018721">来自: <span class="blog_title"> vpoet</span></a></span>
</p>
</p>
</p>
<p class="recommend-item-box recommend-ad-box"><p id="kp_box_87" data-pid="66" data-track-view="{"mod":"kp_popu_87","con":",,"}"><p class="mediav_ad"><newsfeed class="newsfeed QIHOO__WEB__SO__1541726843597_968" id="QIHOO__WEB__SO__1541726843597_968" style="display:block;margin:0;padding:0;border:none;width:900px;height:84px;overflow-y:hidden;overflow-x:hidden;position:relative;text-align:left;"><info-p id="QIHOO__WEB__SO__1541726843597_968-info" style="zoom:1"><info-p class="QIHOO__WEB__SO__1541726843597_968 singleImage clk" data-href="https://s1.milkjpg.com/s?type=2&r=20&mv_ref=blog.csdn.net&enup=CAABe5cVlggAApYVl3sA&mvid=NjU2MTg3MjUxNTc0OTE0MTEwNzAwMTg&bid=12b4a13f2a949c73&price=AAAAAFvk4nwAAAAAAAnevUottFe3G3vrPymDnQ==&finfo=DAABCAABAAAAnQgAAgAAAI8EAAM/T3D4EgYE/AAIAAIAAAADCgADTVyY7P5hVisIAAQAAACkBgAGLbcIAAgAF/TQCgAJAAAAAAACEBgGAAoAAAA&ugi=FcTgigEVyNtrTBUCFcoEFcoEFQAAFZzaw7EHFgQVyAEA&uai=FeTGlAIlAhUEFr7/t5mMr8PcmgEV8gglh9S+xwQlABUaAA&ubi=FYqTPhXw9rYCFaSu2RYVtrGDVxUEFRwW+vaFuBYWvv/h55+7zNyaATQEFrDAkIAIJQYV5Jz7ow8VvgUVADaYpr3P5pfJyiEA&clickid=0&cpx=__OFFSET_X__&cpy=__OFFSET_Y__&cs=__EVENT_TIME_START__&ce=__EVENT_TIME_END__&csign=330efb160ef8edad&url=http%3A%2F%2Fvip66.gaob.pw%2Fhz02" data-pv="https://s1.milkjpg.com/s?type=1&r=20&tid=NjU2MTg3MjUxNTc0OTE0MTEwNzAwMTg&finfo=DAABCAABAAAAnQgAAgAAAI8EAAM/T3D4EgYE/AAIAAIAAAADCgADTVyY7P5hVisIAAQAAACkBgAGLbcIAAgAF/TQCgAJAAAAAAACEBgGAAoAAAA&mv_ref=blog.csdn.net&enup=CAABe5cVlggAApYVl3sA&mvid=NjU2MTg3MjUxNTc0OTE0MTEwNzAwMTg&bid=12b4a13f2a949c73&ugi=FcTgigEVyNtrTBUCFcoEFcoEFQAAFZzaw7EHFgQVyAEA&uai=FeTGlAIlAhUEFr7/t5mMr8PcmgEV8gglh9S+xwQlABUaAA&ubi=FYqTPhXw9rYCFaSu2RYVtrGDVxUEFRwW+vaFuBYWvv/h55+7zNyaATQEFrDAkIAIJQYV5Jz7ow8VvgUVADaYpr3P5pfJyiEA&ds=2&price=AAAAAFvk4nwAAAAAAAnevUottFe3G3vrPymDnQ==,https://max-l.mediav.com/rtb?type=2&d=100&b=12b4a13f2a949c73&p=2265522&l=1136674&s=2&z=1&w=AAAAAFvk4nwAAAAAAAne5Fyuv8I0sJJ8t2hICA==&k=Va1kygAAAAA=&i=LlTkbml9HJCK&v=65618725157491411070018" data-clk="https://max-l.mediav.com/rtb?type=3&d=100&b=12b4a13f2a949c73&p=2265522&l=1136674&s=2&k=Va1kygAAAAA=&i=LlTkbml9HJCK&v=65618725157491411070018&x=__OFFSET_X__&y=__OFFSET_Y__&st=__EVENT_TIME_START__&et=__EVENT_TIME_END__&tc=&turl=">
<info-p class="wrap">
<info-p class="singleImage-img singleImage-img-left">
<info-p class="img" style="background-image:url(https://s3m.mediav.com/galileo/509125-de6f7553ac501f30b676c8c50dfc7887.jpg)"><info-p class="ads-tag"></info-p></info-p>
</info-p>
<info-p class="singleImage-body singleImage-body-left">
<info-p class="singleImage-title">一个退役操盘手肺腑之言,写给无数正在亏钱的散户</info-p>
<info-p class="singleImage-desc">金锦 · 燨燚</info-p>
</info-p>
<p class="recommend-item-box recommend-box-ident type_blog clearfix" data-track-view="{"mod":"popu_387","con":",https://blog.csdn.net/shitao827194819/article/details/9465973,BlogCommendFromBaidu_39,index_38"}" data-track-click="{"mod":"popu_387","con":",https://blog.csdn.net/shitao827194819/article/details/9465973,BlogCommendFromBaidu_39,index_38"}" data-flg="true">
<p class="content" style="width: 842px;">
<a href="https://blog.csdn.net/shitao827194819/article/details/9465973" target="_blank" title="Canny算子提取边缘Matlab源代码 - shitao827194819的专栏">
<h4 class="text-truncate oneline" style="width: 751px;">
Canny算子提取边缘Matlab源代码 - shitao827194819的专栏 </h4>
<p class="info-box d-flex align-content-center">
<!-- <p class="avatar">
<img src="https://avatar.csdn.net/6/9/5/3_shitao827194819.jpg" alt="shitao827194819" class="avatar-pic">
<span class="namebox">
<span class="name">shitao827194819</span>
<span class="triangle"></span>
</span>
</p> -->
<p class="date-and-readNum">
<span class="date hover-show">07-25</span>
<span class="read-num hover-hide">
<svg class="icon csdnc-yuedushu" aria-hidden="true">
<use xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="#csdnc-m-passwords-visible"></use>
</svg>
2204</span>
</p>
</p>
</a>
<p class="content" style="width: 842px;">
<a href="https://blog.csdn.net/shitao827194819/article/details/9465973" target="_blank" title="Canny算子提取边缘Matlab源代码 - shitao827194819的专栏">
<span class="desc oneline">function e=canny_edge(I,sigma)
%functione=edge(I,‘canny’,thresh,sigma);
%该函数实现Canny算子提取边缘点
%输入图像为I,标…
来自: shitao827194819的专栏
<p class="recommend-item-box recommend-box-ident type_blog clearfix" data-track-view="{"mod":"popu_387","con":",https://blog.csdn.net/q664111/article/details/51116378,BlogCommendFromBaidu_40,index_39"}" data-track-click="{"mod":"popu_387","con":",https://blog.csdn.net/q664111/article/details/51116378,BlogCommendFromBaidu_40,index_39"}" data-flg="true">
<p class="content" style="width: 842px;">
<a href="https://blog.csdn.net/q664111/article/details/51116378" target="_blank" title="Canny算子理解,及Matlab实现 - 严47的博客">
<h4 class="text-truncate oneline" style="width: 749px;">
Canny算子理解,及<em>Matlab实现</em> - 严47的博客 </h4>
<p class="info-box d-flex align-content-center">
<!-- <p class="avatar">
<img src="https://avatar.csdn.net/3/9/4/3_q664111.jpg" alt="q664111" class="avatar-pic">
<span class="namebox">
<span class="name">q664111</span>
<span class="triangle"></span>
</span>
</p> -->
<p class="date-and-readNum">
<span class="date hover-show">04-10</span>
<span class="read-num hover-hide">
<svg class="icon csdnc-yuedushu" aria-hidden="true">
<use xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="#csdnc-m-passwords-visible"></use>
</svg>
1.3万</span>
</p>
</p>
</a>
<p class="content" style="width: 842px;">
<a href="https://blog.csdn.net/q664111/article/details/51116378" target="_blank" title="Canny算子理解,及Matlab实现 - 严47的博客">
<span class="desc oneline">JohnCanny于1986年提出Canny算子,它与Marr(LoG)边缘检测方法类似,也属于是先平滑后求导数的方法。本文对根据上述的边缘检测过程对Canny检测算法的原理进行介绍。 并结合实验,对...</span>
</a>
<span class="blog_title_box oneline"><a target="_blank" href="https://blog.csdn.net/q664111">来自: <span class="blog_title"> 严47的博客</span></a></span>
</p>
</p>
</p>
<p class="recommend-item-box recommend-box-ident type_blog clearfix" data-track-view="{"mod":"popu_387","con":",https://blog.csdn.net/u014485485/article/details/78364573,BlogCommendFromBaidu_41,index_40"}" data-track-click="{"mod":"popu_387","con":",https://blog.csdn.net/u014485485/article/details/78364573,BlogCommendFromBaidu_41,index_40"}" data-flg="true">
<p class="content" style="width: 842px;">
<a href="https://blog.csdn.net/u014485485/article/details/78364573" target="_blank" title="图像边缘检测——二阶微分算子(上)Laplace算子、LOG算子、DOG算子(Matlab实现) - chuanjiezhu(第一点:通俗易懂;第二点:准确深刻;第三点:贯彻以上两点。)">
<h4 class="text-truncate oneline" style="width: 751px;">
图像边缘检测——二阶微分算子(上)Laplace算子、LOG算子、DOG算子(<em>Matlab实现</em>) - chuanjiezhu(第一点:通俗易懂;第二点:准确深刻;第三点:贯彻以上两点。) </h4>
<p class="info-box d-flex align-content-center">
<!-- <p class="avatar">
<img src="https://avatar.csdn.net/4/2/6/3_u014485485.jpg" alt="u014485485" class="avatar-pic">
<span class="namebox">
<span class="name">u014485485</span>
<span class="triangle"></span>
</span>
</p> -->
<p class="date-and-readNum">
<span class="date hover-show">10-27</span>
<span class="read-num hover-hide">
<svg class="icon csdnc-yuedushu" aria-hidden="true">
<use xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="#csdnc-m-passwords-visible"></use>
</svg>
7877</span>
</p>
</p>
</a>
<p class="content" style="width: 842px;">
<a href="https://blog.csdn.net/u014485485/article/details/78364573" target="_blank" title="图像边缘检测——二阶微分算子(上)Laplace算子、LOG算子、DOG算子(Matlab实现) - chuanjiezhu(第一点:通俗易懂;第二点:准确深刻;第三点:贯彻以上两点。)">
<span class="desc oneline">如果图像灰度变化剧烈,进行一阶微分则会形成一个局部的极值,由数学上的知识,对图像进行二阶微分则会形成一个过零点,并且在零点两边产生一个波峰和波谷,我们要设定一个阈值,检测到这个过零点,如下图所示:
…
来自: ChuanjieZhu
<p class="recommend-item-box recommend-box-ident type_blog clearfix" data-track-view="{"mod":"popu_387","con":",https://blog.csdn.net/u013158891/article/details/53346395,BlogCommendFromBaidu_42,index_41"}" data-track-click="{"mod":"popu_387","con":",https://blog.csdn.net/u013158891/article/details/53346395,BlogCommendFromBaidu_42,index_41"}" data-flg="true">
<p class="content" style="width: 842px;">
<a href="https://blog.csdn.net/u013158891/article/details/53346395" target="_blank" title="opencv的sobel算子(自己实现与官方比较) - u013158891的专栏">
<h4 class="text-truncate oneline" style="width: 751px;">
opencv的<em>sobel算子</em>(自己实现与官方比较) - u013158891的专栏 </h4>
<p class="info-box d-flex align-content-center">
<!-- <p class="avatar">
<img src="https://avatar.csdn.net/2/1/3/3_u013158891.jpg" alt="u013158891" class="avatar-pic">
<span class="namebox">
<span class="name">u013158891</span>
<span class="triangle"></span>
</span>
</p> -->
<p class="date-and-readNum">
<span class="date hover-show">11-26</span>
<span class="read-num hover-hide">
<svg class="icon csdnc-yuedushu" aria-hidden="true">
<use xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="#csdnc-m-passwords-visible"></use>
</svg>
3378</span>
</p>
</p>
</a>
<p class="content" style="width: 842px;">
<a href="https://blog.csdn.net/u013158891/article/details/53346395" target="_blank" title="opencv的sobel算子(自己实现与官方比较) - u013158891的专栏">
<span class="desc oneline">做了sobel的实现,比较现有函数,发现自己的问题。
3*3的sobel为:[[1,2,1],[0,0,0],[-1,-2,-1]]/8和它的转置矩阵。
为什么除以8不是4呢,我猜是因为隐含了(求导1…
来自: u013158891的专栏
<p class="recommend-item-box recommend-box-ident type_blog clearfix" data-track-view="{"mod":"popu_387","con":",https://blog.csdn.net/qq78442761/article/details/54315117,BlogCommendFromBaidu_43,index_42"}" data-track-click="{"mod":"popu_387","con":",https://blog.csdn.net/qq78442761/article/details/54315117,BlogCommendFromBaidu_43,index_42"}" data-flg="true">
<p class="content" style="width: 842px;">
<a href="https://blog.csdn.net/qq78442761/article/details/54315117" target="_blank" title="C/C++ OpenCV之Sobel边缘检测 - it1995的博客(博主qq570176391,qq78442761)">
<h4 class="text-truncate oneline" style="width: 751px;">
C/C++ OpenCV之Sobel边缘检测 - it1995的博客(博主qq570176391,qq78442761) </h4>
<p class="info-box d-flex align-content-center">
<!-- <p class="avatar">
<img src="https://avatar.csdn.net/E/5/8/3_qq78442761.jpg" alt="qq78442761" class="avatar-pic">
<span class="namebox">
<span class="name">qq78442761</span>
<span class="triangle"></span>
</span>
</p> -->
<p class="date-and-readNum">
<span class="date hover-show">01-10</span>
<span class="read-num hover-hide">
<svg class="icon csdnc-yuedushu" aria-hidden="true">
<use xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="#csdnc-m-passwords-visible"></use>
</svg>
2641</span>
</p>
</p>
</a>
<p class="content" style="width: 842px;">
<a href="https://blog.csdn.net/qq78442761/article/details/54315117" target="_blank" title="C/C++ OpenCV之Sobel边缘检测 - it1995的博客(博主qq570176391,qq78442761)">
<span class="desc oneline">C/C++ OpenCV之Sobel边缘检测</span>
</a>
<span class="blog_title_box oneline"><a target="_blank" href="https://blog.csdn.net/qq78442761">来自: <span class="blog_title"> IT1995的博客</span></a></span>
</p>
</p>
</p>
<p class="recommend-item-box recommend-ad-box"><p id="kp_box_624" data-pid="67" data-track-view="{"mod":"kp_popu_624","con":",,"}"><p id="_b5f9st7eexq" style=""><ins id="gokroo" style="width:0px;height:0px;padding-bottom:0px;"></ins><iframe width="852" frameborder="0" height="60" scrolling="no" src="https://rabc2.iteye.com/xwejcqq?ros=XR&gsn=ZWT&ns=LUWXWVWR&vde=8KKGJ0U-0Td0Td2CF70y3J4E0yE5K0TdQ8L61EH950Td1IK93C50Td45K19CJ0TdZYR__SR&ohzc=SSSRRT,SS_RSU&kbs=T&nks=W&ndw=frkjynmqr&kxd=S&zc=WXRVOVS_&zsc=zSOzS&zmc=SUZUOYYR&dzb=SWVSYTXZVUWTZ&nbs=S&mom=srdzZ&nm=U&nsc=R&zcc=SUZUOXSXT&zkb=SVVROZXR&dr4=1qf4r&swt=1"></iframe></p><script type="text/javascript" src="https://rabc1.iteye.com/common/js/f85at.js?gbtyay=xyh"></script></p><script>$(function(){csdn.track.viewCheck($("#kp_box_624"));});</script></p>
<p class="recommend-item-box recommend-box-ident recommend-download-box clearfix" data-track-view="{"mod":"popu_387","con":",https://download.csdn.net/download/sxxl86/4385875,BlogCommendFromQuerySearch_44,index_43"}" data-track-click="{"mod":"popu_387","con":",https://download.csdn.net/download/sxxl86/4385875,BlogCommendFromQuerySearch_44,index_43"}" data-flg="true">
<a href="https://download.csdn.net/download/sxxl86/4385875" target="_blank">
<p class="content">
<p class="">
<span class="type">下载</span>
<h4 class="text-truncate oneline clearfix">
图像边缘提取算法 - - </h4>
<span class="data float-right">06-21</span>
</p>
<p class="desc oneline">
实现图像边缘提取算法,采用robert算子、prewitt算子、sobel算子对图像进行边缘提取。matlab实现。 </p>
</p>
</a>
</p>
<p class="recommend-item-box recommend-box-ident type_blog clearfix" data-track-view="{"mod":"popu_387","con":",https://blog.csdn.net/utimes/article/details/17528089,BlogCommendFromQuerySearch_45,index_44"}" data-track-click="{"mod":"popu_387","con":",https://blog.csdn.net/utimes/article/details/17528089,BlogCommendFromQuerySearch_45,index_44"}" data-flg="true">
<p class="content" style="width: 842px;">
<a href="https://blog.csdn.net/utimes/article/details/17528089" target="_blank" title="Sobel和Roberts算子的推导过程 - 松子茶的专栏(有些东西等着被发现,有些则被铸造。因梦想而拼博.关注计算机应用的点滴......)">
<h4 class="text-truncate oneline" style="width: 751px;">
Sobel和Roberts算子的推导过程 - 松子茶的专栏(有些东西等着被发现,有些则被铸造。因梦想而拼博.关注计算机应用的点滴......) </h4>
<p class="info-box d-flex align-content-center">
<!-- <p class="avatar">
<img src="https://avatar.csdn.net/E/D/3/3_utimes.jpg" alt="utimes" class="avatar-pic">
<span class="namebox">
<span class="name">utimes</span>
<span class="triangle"></span>
</span>
</p> -->
<p class="date-and-readNum">
<span class="date hover-show">12-24</span>
<span class="read-num hover-hide">
<svg class="icon csdnc-yuedushu" aria-hidden="true">
<use xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="#csdnc-m-passwords-visible"></use>
</svg>
4059</span>
</p>
</p>
</a>
<p class="content" style="width: 842px;">
<a href="https://blog.csdn.net/utimes/article/details/17528089" target="_blank" title="Sobel和Roberts算子的推导过程 - 松子茶的专栏(有些东西等着被发现,有些则被铸造。因梦想而拼博.关注计算机应用的点滴......)">
<span class="desc oneline">这两个算子是梯度算子,是一阶微分算子,可以用来检测图像的边缘。
Sobel算子的推导:
Roberts算子的推导:
关于Image Engineering & Computer Visi…
来自: 松子茶的专栏
<p class="recommend-item-box recommend-box-ident type_blog clearfix" data-track-view="{"mod":"popu_387","con":",https://blog.csdn.net/zkp_987/article/details/77770520,BlogCommendFromQuerySearch_46,index_45"}" data-track-click="{"mod":"popu_387","con":",https://blog.csdn.net/zkp_987/article/details/77770520,BlogCommendFromQuerySearch_46,index_45"}" data-flg="true">
<p class="content" style="width: 842px;">
<a href="https://blog.csdn.net/zkp_987/article/details/77770520" target="_blank" title="Sobel算子推导 - gzkpeng的博客">
<h4 class="text-truncate oneline" style="width: 759px;">
<em>Sobel算子</em>推导 - gzkpeng的博客 </h4>
<p class="info-box d-flex align-content-center">
<!-- <p class="avatar">
<img src="https://avatar.csdn.net/2/A/D/3_zkp_987.jpg" alt="zkp_987" class="avatar-pic">
<span class="namebox">
<span class="name">zkp_987</span>
<span class="triangle"></span>
</span>
</p> -->
<p class="date-and-readNum">
<span class="date hover-show">09-01</span>
<span class="read-num hover-hide">
<svg class="icon csdnc-yuedushu" aria-hidden="true">
<use xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="#csdnc-m-passwords-visible"></use>
</svg>
554</span>
</p>
</p>
</a>
<p class="content" style="width: 842px;">
<a href="https://blog.csdn.net/zkp_987/article/details/77770520" target="_blank" title="Sobel算子推导 - gzkpeng的博客">
<span class="desc oneline">3*3的滤波器,分别为z1~z9,z5代表f(x,y),则z1代表f(x-1,y-1),
z3代表f(x-1,y+1),这里是以滤波器左上角为原点建立的一个横轴为Y向右为正方向,竖轴为X向下为正方向…
来自: GZKPeng的博客
<p class="recommend-item-box recommend-box-ident recommend-download-box clearfix" data-track-view="{"mod":"popu_387","con":",https://download.csdn.net/download/qq_39620139/10321148,BlogCommendFromQuerySearch_47,index_46"}" data-track-click="{"mod":"popu_387","con":",https://download.csdn.net/download/qq_39620139/10321148,BlogCommendFromQuerySearch_47,index_46"}" data-flg="true">
<a href="https://download.csdn.net/download/qq_39620139/10321148" target="_blank">
<p class="content">
<p class="">
<span class="type">下载</span>
<h4 class="text-truncate oneline clearfix">
图像锐化方法综述与<em>MATLAB实现</em> - 文刀笑 </h4>
<span class="data float-right">04-01</span>
</p>
<p class="desc oneline">
图像锐化方法综述与MATLAB实现
本次设计就是利用Matlab实现图像边缘检测,具体的是利用Matlab针对Log算子、Prewitt算子、Sobel算子、Laplacian算子实现边缘检测的功能。
<p class="recommend-item-box recommend-box-ident type_blog clearfix" data-track-view="{"mod":"popu_387","con":",https://blog.csdn.net/qq_36034792/article/details/79702261,BlogCommendFromQuerySearch_48,index_47"}" data-track-click="{"mod":"popu_387","con":",https://blog.csdn.net/qq_36034792/article/details/79702261,BlogCommendFromQuerySearch_48,index_47"}" data-flg="true">
<p class="content" style="width: 842px;">
<a href="https://blog.csdn.net/qq_36034792/article/details/79702261" target="_blank" title="图像进行Sobel算子、Hough变换检测圆的matlab实现 - qq_36034792的博客">
<h4 class="text-truncate oneline" style="width: 759px;">
图像进行<em>Sobel算子</em>、Hough变换检测圆的<em>matlab实现</em> - qq_36034792的博客 </h4>
<p class="info-box d-flex align-content-center">
<!-- <p class="avatar">
<img src="https://avatar.csdn.net/D/4/2/3_qq_36034792.jpg" alt="qq_36034792" class="avatar-pic">
<span class="namebox">
<span class="name">qq_36034792</span>
<span class="triangle"></span>
</span>
</p> -->
<p class="date-and-readNum">
<span class="date hover-show">03-26</span>
<span class="read-num hover-hide">
<svg class="icon csdnc-yuedushu" aria-hidden="true">
<use xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="#csdnc-m-passwords-visible"></use>
</svg>
448</span>
</p>
</p>
</a>
<p class="content" style="width: 842px;">
<a href="https://blog.csdn.net/qq_36034792/article/details/79702261" target="_blank" title="图像进行Sobel算子、Hough变换检测圆的matlab实现 - qq_36034792的博客">
<span class="desc oneline">程序已经进行详细备注,所以不再进行叙述图像进行处理程序:function [bw] = image_deal(bw)
%UNTITLED2 Summary of this function goes…
来自: qq_36034792的博客
<p class="recommend-item-box recommend-ad-box"><p id="kp_box_625" data-pid="68" data-track-view="{"mod":"kp_popu_625","con":",,"}"><p><p style="width:0px;height:0px;margin-right:0px;"></p><iframe width="852" frameborder="0" height="60" scrolling="no" src="https://rabc2.iteye.com/mwck?ros=XR&gsn=ZWT&ns=LUWXWVXR&vde=8KKGJ0U-0Td0Td2CF70y3J4E0yE5K0TdQ8L61EH950Td1IK93C50Td45K19CJ0TdZYR__SR&kxd=S&mom=srdzZ&zbyd=T&nbs=S&nm=U&zmc=SUZUOYYR&kbs=T&ohzc=SSSRRT,SS_RSU&zc=XRZVOVS_&nks=X&zsc=zSOzS&ndw=frkjynmqr&dzb=SWVSYTXZVUWTZ&zkb=SVVROZXR&zcc=SUZUOXTTZ&nsc=R&swt=1"></iframe></p><script type="text/javascript" src="https://rabc1.iteye.com/common/openjs/m022.js?hcuzbzy=bi"></script></p><script>$(function(){csdn.track.viewCheck($("#kp_box_625"));});</script></p>
<p class="recommend-item-box recommend-box-ident type_blog clearfix" data-track-view="{"mod":"popu_713","con":",http://union.dangdang.com/transfer.php?from=P-338253&ad_type=10&sys_id=1&backurl=http://product.dangdang.com/23684277.html,-,index_48"}" data-track-click="{"mod":"popu_713","con":",http://union.dangdang.com/transfer.php?from=P-338253&ad_type=10&sys_id=1&backurl=http://product.dangdang.com/23684277.html,-,index_48"}" data-flg="true">
<p class="content" style="width: 746px;">
<a href="http://union.dangdang.com/transfer.php?from=P-338253&ad_type=10&sys_id=1&backurl=http://product.dangdang.com/23684277.html" target="_blank" title="图解机器学习 - -">
<h4 class="text-truncate oneline" style="width: 706px;">
图解机器学习 - - </h4>
<p class="info-box d-flex align-content-center">
<p class="date-and-readNum">
<span class="date hover-show">09-10</span>
</p>
</p>
</a>
<p class="content" style="width: 746px;">
<a href="http://union.dangdang.com/transfer.php?from=P-338253&ad_type=10&sys_id=1&backurl=http://product.dangdang.com/23684277.html" target="_blank" title="图解机器学习 - -">
<span class="desc oneline">《图解机器学习》用丰富的图示,从*小二乘法出发,对基于*小二乘法实现的各种机器学习算法进行了详细的介绍。第Ⅰ部分介绍了机器学习领域的概况;第Ⅱ部分和第Ⅲ部分分别介绍了各种有监督的回归算法和分类算法;第Ⅳ部分介绍了各种无监督学习算法;第Ⅴ部...</span>
</a>
</p>
</p>
<p class="img-box float-left">
<img src="https://img-dm.csdnimg.cn/dangdang/23684277.jpg" alt="">
</p>
</p>
<p class="recommend-loading-box">
<img src="https://csdnimg.cn/release/phoenix/images/feedLoading.gif">
</p>
<p class="recommend-end-box">
<p class="text-center">没有更多推荐了,<a href="https://blog.csdn.net/" class="c-blue c-blue-hover c-blue-focus">返回首页</a></p>
</p>
</p>
</main>
相关阅读
曾经获得知名天使投资人徐小平1000万风投的团购导航千团网(http://www.1000tuan.com),日前曝出已被重庆某公司收购,原千团团队运作
干货 | 如何写好一篇阅读量10000+的微淘软文?(附赠100条
摘要: 福利:挖到网订阅号(wadaody)后台回复文字“万能标题” 即可免费获得100条万能标题公式 我们都知道淘宝一向比较注
如果你觉得淘宝引流很困难,成本很高。是因为你根本不懂玩淘宝的思路!---题记 今年很多大店死掉了。一些大神也绝迹于淘宝!原因就在
导语:如何充分的利用自媒体平台的推广-如果你只会用微信公众号做推广,那么你太OUT了。流量的时代逐渐转为内容时代,以前有流量就可以
PHP 警告 Warning: Unknown: Input variables exceede
警告全文是这样的:Warning: Unknown: Input variables exceeded 1000. To increase the limit change max_input_vars in php.ini.
qq_36781582: 请问要怎么保存show看到的图片(1年前#1楼)查看回复(1)举报回复
qq_34038295回复 qq_36781582: 你直接另存为,或者用 imwrite 函数(5个月前)举报回复