定向Canny边缘检测 [英] Orientational Canny Edge Detection

问题描述

我想使用Canny方法检测边缘。最后我想要两个边缘贴图：1表示水平1表示垂直方向。

在MATLAB中，这可以通过使用带有额外方向参数的Sobel或Prewitt运算符来实现，但对于Canny，我们没有这个选项。

  E =边缘（我，'Sobel'，'水平'）
  

任何想法如何使用Canny分别提取水平和垂直边缘？

解决方案

无法使用内置的

I want to detect edges using Canny method. In the end I want two edge maps: 1 for horizontal 1 for vertical direction.

In MATLAB this can be achieved by using Sobel or Prewitt operators with an extra direction argument, but for Canny we do not have this option.

E = edge(I,'Sobel','horizontal')

Any idea how to extract both horizontal and vertical edges, separately, by using Canny?

解决方案

There is no way using the built in edge function. However, Canny edge detection uses the angles from the Sobel Operator. It is very easy to reproduce these values.

1. Start with an image, I'll use a built in demo image.

   A = im2double(rgb2gray(imread('peppers.png')));
   

2. Get the Canny edges

   A_canny = edge(A, 'Canny');
   

3. Sobel Operator -- We can't use the built in implementation (edge(A_filter, 'Sobel')), because we want the edge angles, not just the edge locations, so we implement our own operator.

   a. Gaussian filter. This is a preprocessing step for Canny, so we should probably reproduce it here

   A_filter = imgaussfilt(A);
   

   b. Convolution to find oriented gradients

   %These filters measure the difference in values between vertically or horizontally adjacent pixels. 
   %Effectively, this finds vertical and horizontal gradients.
   vertical_filter = [-1 0 1; -2 0 2; -1 0 1];
   horizontal_filter = [-1 -2 -1; 0 0 0; 1 2 1];
   A_vertical = conv2(A_filter, vertical_filter, 'same');
   A_horizontal = conv2(A_filter, horizontal_filter, 'same');
   

   c. Calculate the angles

   A_angle = arctan(A_vertical./A_horizontal);
   

4. Get the angle values at the edge locations

   A_canny_angles = nan(size(A));
   A_canny_angles(A_canny) = A_angle(A_canny);
   

5. Choose the angles that you are interested in

   angle_tolerance = 22.5/180*pi;
   target_angle = 0;
   A_target_angle = A_canny_angles >= target_angle*pi/180 - angle_tolerance & ...
       A_canny_angles<= target_angle*pi/180 + angle_tolerance;
   

So if I'm looking for horizontal lines, my target angle would be zero. The image below illustrates steps 1, 2, 4 and 5. The final result of the extracted horizontal lines is shown in the bottom right. You can see that they are not exactly horizontal because I used such a large angle tolerance window. This is a tunable parameter depending on how exactly you want to hit your target angle.

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