Detect all the rectangles in image

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simon xu 2019-2-18

0
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https://ww2.mathworks.cn/matlabcentral/answers/445527-detect-all-the-rectangles-in-image

评论： islam elsayed 2020-6-11

Hey all,

in the following image, all the rectangles are a little bit deformed due to power leakage effect. I want to detect all the rectangles and obtain the positions of the rectangles.

Is there a way to detect all rectangles?

Thank you

采纳的回答

Image Analyst 2019-2-18

1
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https://ww2.mathworks.cn/matlabcentral/answers/445527-detect-all-the-rectangles-in-image#answer_361588

It's trivial. Just use regionprops(). See my Image Segmentation Tutorial

How about you just compute the centroid, even with the tails, then take a vertical and horizontal line through the centroid and use find() to find the top and bottom lines and left and right columns of the rectangle?

simon xu 2019-2-22

grayscale.mat

How to binarize the grayscale image in the attached grayscale.mat file?

My goal is binarizing the grayscale image to get the rectangles and get rid of noise.

Thank you very much!

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更多回答（1 个）

KSSV 2019-2-18

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https://ww2.mathworks.cn/matlabcentral/answers/445527-detect-all-the-rectangles-in-image#answer_361521

在 MATLAB Online 中打开

I = imread('myImage.jpeg') ;
[y,x] = find(I>50) ;
imshow(I)
hold on
idx = kmeans([x y],4) ;
for i = 1:4
    plot(x(idx==i),y(idx==i),'.')
    % GEt L and B of rectangles 
    x0 = min(x(idx==i)) ; x1 = max(x(idx==i)) ;
    y0 = min(y(idx==i)) ; y1 = max(y(idx==i)) ;
    %
    L = x1-x0 ;
    B = y1-y0 ;
    coor = [x0 y0 ; x0 y1 ; x1 y1 ; x1 y0] ;
    patch(coor(:,1),coor(:,2),rand(1,3))
    
end