extract 5 lines from binary image using hough transform in matlab

To extract lines from a binary image using Hough Transform in MATLAB, you can follow these steps:

1. Read the binary image using imread function.
2. Apply edge detection algorithm (e.g., Canny) using edge function.
3. Apply Hough Transform to extract lines using hough function.
4. Find peaks in the Hough Transform using houghpeaks function.
5. Extract lines parameters (rho and theta) using houghlines function.
6. Iterate over each line and plot it using line function.

The following code snippet demonstrates how to extract 5 lines from a binary image using Hough Transform in MATLAB:

main.m
% Read the binary image
img = imread('binary_image.png');

% Apply edge detection algorithm
edges = edge(img, 'canny');

% Apply Hough Transform to extract lines
[H,theta,rho] = hough(edges);

% Find peaks in the Hough Transform
peaks = houghpeaks(H,5);

% Extract lines parameters (rho and theta)
lines = houghlines(edges,theta,rho,peaks);

% Iterate over each line and plot it
figure, imshow(img), hold on
for k = 1:length(lines)
    xy = [lines(k).point1; lines(k).point2];
    plot(xy(:,1),xy(:,2),'LineWidth',2,'Color','green');
end
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In the above code, 5 is the number of peaks to be extracted from the Hough Transform, and you can adjust it according to your needs.