Split imprecise checkerboard pattern

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Nassim Habbash
Nassim Habbash 2018-8-9
评论： Nassim Habbash 2018-8-21
I have a set of chessboard diagrams photos. I have managed to extract them and rotate them so they're mostly orthonormal. I now need to split the pictures according to the checkerboard pattern. The images aren't well-aligned, some are slightly angled or have slight distortions due to the transformation process, while other have a more noisy border due to the extraction process.
I have tried different ways to extract the lines with Hough's transform, first through an edge detection (Canny), after by scaling down the pic and trying to get a solid checkerboard pattern through morphological operations, but neither did bring to satisfying results. So far Edge detection + Hough has been the most successful, but still I manage to get at most 4 lines per image, while I'd need 14 to split the image.
This is the code I use for Hough:
imedge = edge(imgray,'Canny',[], 2);
[H,T,R] = hough(imedge, 'Theta',[-90:-87 -3:3 87:89]);
Here an example:
Edge + Hough
Scaling + Hough
Scaling + Edge + Hough

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Naman Chaturvedi
Naman Chaturvedi 2018-8-13
Hi Nassim,
I tried finding the checkerboard lines and I could easily do it using edge+hough.
i1=imread('chess.png');
imedge = edge(i1,'Canny',[], 2);
[H,T,R] = hough(imedge,'Theta',[-90:-87 -3:3 87:89]);
P = houghpeaks(H,20);
lines = houghlines(imedge,T,R,P);
figure;
imshow(imedge);
hold on;
for k=1:length(lines)
xy=[lines(k).point1,lines(k).point2];
if abs(lines(k).theta)==90
plot([xy(2) xy(4)],[0 size(i,1)],'r');
else
plot([0 size(i,2)],[xy(1) xy(3)],'r');
end
end
You basically have to play with the number of 'houghpeaks' to be detected as some lines are detected multiple times. By further processing, you can remove the multiple lines.
Hope this helps.

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