find peaks of hough transform and extend the hough lines in matlab

To find peaks in the Hough transform, you can use the houghpeaks function in MATLAB. This function returns the row and column coordinates of the peaks in the Hough space, as well as the corresponding Hough value. Here's an example code snippet that finds the peaks in the Hough transform of a binary edge image:

main.m
% Load the image and perform edge detection
img = imread('image.png');
bw = edge(img);

% Compute the Hough transform
[H,theta,rho] = hough(bw);

% Find the peaks in the Hough space
peaks = houghpeaks(H, 10); % finds the top 10 peaks

% Plot the Hough space with the peaks overlaid
figure, imshow(imadjust(mat2gray(H)),[],'XData',theta,'YData',rho,...
              'InitialMagnification','fit');
xlabel('\theta'), ylabel('\rho');
axis on, axis normal, hold on;
plot(theta(peaks(:,2)),rho(peaks(:,1)),'s','color','white');
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To extend the Hough lines, you can use the houghlines function in combination with the imshow and line functions. Here's an example code snippet that extends the Hough lines corresponding to the peaks found earlier:

main.m
% Find the lines corresponding to the Hough peaks
lines = houghlines(bw, theta, rho, peaks);

% Plot the original image with the extended Hough lines overlaid
figure, imshow(img), hold on
max_len = 0;
for k = 1:length(lines)
   xy = [lines(k).point1; lines(k).point2];
   
   % Extend the lines to the boundary of the image
   plot(xy(:,1),xy(:,2),'LineWidth',2,'Color','green');
   
   % Compute the length of the line segment
   len = norm(lines(k).point1 - lines(k).point2);
   
   % Keep track of the longest line found
   if ( len > max_len)
      max_len = len;
      xy_long = xy;
   end
end

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