Attempting to Crop binary image
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I want the white section of this image I took,
I used this code to attempt a crop,
[rows, columns] = find(ProperlyOrientedBinaryBlock);
topRow = min(rows);
bottomRow = max(rows);
leftColumn = min(columns);
rightColumn = max(columns);
croppedImage = ProperlyOrientedBinaryBlock(topRow:bottomRow, leftColumn:rightColumn);
imshow(croppedImage)
I'm not getting the result I expect. Anyone have any idea?

1 个评论
Satyajeet Sasmal
2015-11-16
Could you provide us with your workflow? What does the "ProperlyOrientedBinaryBlock" function do?
回答(2 个)
Image Analyst
2015-11-16
Try this:
grayImage = imread('binary.jpg');
binaryImage = grayImage > 128;
subplot(2, 1, 1);
imshow(binaryImage);
% Get convex hulls
binaryImage2 = bwconvhull(binaryImage, 'objects');
% Extract largest blob only
binaryImage2 = bwareafilt(binaryImage2, 1);
% Now you can crop:
[rows, columns] = find(binaryImage2);
topRow = min(rows);
bottomRow = max(rows);
leftColumn = min(columns);
rightColumn = max(columns);
croppedImage = binaryImage(topRow:bottomRow, leftColumn:rightColumn);
subplot(2, 1, 2);
imshow(croppedImage)
It's not super robust - if the blobs are broken up or nested, it's possible that it would need some more code to get it perfect, but it will work for rectangular Lego blocks as long as they're not too broken apart.
1 个评论
manimuthu Venu
2020-9-9
Is it possible to get the original coordinates of the cropped image, so that it can be merged in the same position in another image? thanks a lot in advance
The image contains some spurious white points, e.g. at (950,3). You can delete them using erosion
se = strel('disk',1)
erodedB = imerode(B,se);
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