sectorization of hexagonal algorithms in matlab

main.m
img = imread('input_image.jpg'); % Replace input_image.jpg with your image name and path
89 chars
2 lines

main.m
gray_img = rgb2gray(img);
26 chars
2 lines

main.m
edge_img = edge(gray_img, 'canny'); % You can use other edge detection methods as per your requirements
104 chars
2 lines

main.m
[H,theta,rho] = hough(edge_img,'Theta',-60:1:60);
peaks = houghpeaks(H,5);
lines = houghlines(edge_img,theta,rho,peaks,'FillGap',5,'MinLength',7);
147 chars
4 lines

main.m
mask = zeros(size(edge_img));
for k = 1:length(lines)
   xy = [lines(k).point1; lines(k).point2];
   idx = sub2ind(size(mask), xy(:,2), xy(:,1));
   mask(idx) = 1;
end
168 chars
7 lines

main.m
se = strel('disk', 10); % You can use other structuring elements as per your requirements
dilated_img = imdilate(mask, se);
eroded_img = imerode(mask, se);
sectorized_img = dilated_img - eroded_img;
199 chars
5 lines

main.m
imshow(sectorized_img);
24 chars
2 lines