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matlabimage-processinghough-transform

Hough transform in MATLAB

Does anyone know how to use the Hough transform to detect the strongest lines in the binary image:

A = zeros(7,7);
A([6 10 18 24 36 38 41]) = 1;

Using the (rho; theta) format with theta in steps of 45° from -45° to 90°. And how do I show the accumulator array in MATLAB as well.

Any help or hints please?

Thank you!

Solution

  • If you have access to the Image Processing Toolbox, you can use the functions HOUGH, HOUGHPEAKS, and HOUGHLINES:

    %# your binary image
BW = false(7,7);
BW([6 10 18 24 36 38 41]) = true;

%# hough transform, detect peaks, then get lines segments
[H T R] = hough(BW);
P  = houghpeaks(H, 4);
lines = houghlines(BW, T, R, P, 'MinLength',2);

%# show accumulator matrix and peaks
imshow(H./max(H(:)), [], 'XData',T, 'YData',R), hold on
plot(T(P(:,2)), R(P(:,1)), 'gs', 'LineWidth',2);
xlabel('\theta'), ylabel('\rho')
axis on, axis normal
colormap(hot), colorbar

%# overlay detected lines over image
figure, imshow(BW), hold on
for k = 1:length(lines)
    xy = [lines(k).point1; lines(k).point2];
    plot(xy(:,1), xy(:,2), 'g.-', 'LineWidth',2);
end
hold off

    hough lines