原
sobel算子，matlab实现
-
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。
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想对作者说点什么？
我来说一句
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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
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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
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<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
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[图像处理] Sobel边缘检测算法 - ryuzhihao123 的博客(编程,cg,ml) </h4>
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<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
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<em>sobel算子</em>的<em>matlab实现</em> - - </h4>
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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! </div>
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<span class="desc oneline">第一个：
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<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
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<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>
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<span class="date hover-show">04-08</span>
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<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
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Sobel算子</a>
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SOBEL算子</a>
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<em>Sobel算子</em> - goodshot的专栏(追赶，超越) </h4>
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<span class="date hover-show">08-22</span>
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<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
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<em>sobel算子</em>原理与实现 - 五仁月饼哭了的博客 </h4>
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<span class="date hover-show">07-15</span>
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<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
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边缘检测：<em>Sobel算子</em> - xddwz的博客 </h4>
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<span class="date hover-show">09-16</span>
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<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>
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sobel算法 - 杨燕丹的博客(小笨丹的奋斗史) </h4>
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<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
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<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
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<em>Sobel算子</em>及C++实现 - 牧野的博客 </h4>
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<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
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<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…
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[图像]Canny检测的<em>Matlab实现</em>(含代码) - 祥的专栏(学不可以已) </h4>
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<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>
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<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
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<span class="desc oneline">ori_img=imread('Fig0342(a)(contact_lens_original).tif');
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<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
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<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…
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matlab---边缘之sobel简单实例 - vpoet(行到水穷处，坐看云起时。) </h4>
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<span class="date hover-show">07-04</span>
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<span class="desc oneline">最近在项目中需要做一些图像边缘检测的</span>
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<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>
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<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
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<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>
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<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：
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<span class="desc oneline">做了sobel的实现，比较现有函数，发现自己的问题。
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<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…
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<span class="date hover-show">09-01</span>
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<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
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图像锐化方法综述与<em>MATLAB实现</em> - 文刀笑 </h4>
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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。
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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>
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<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
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