How to remove mammogram tags automatically?
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Epah
el 29 de Oct. de 2014
Comentada: Image Analyst
el 17 de Oct. de 2016
Hi All,
I have mammogram images with label tag (top right corner) on each of every image. How do I remove the tags automatically? Please kindly help and advice. I have uploaded the image below. Thank you very much.
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Sean de Wolski
el 29 de Oct. de 2014
% Read and mask image
I = imread('Screenshot 2014-10-29 22.41.29.png');
M = shrinkWrap(I,'biggest');
% Copy and zero out not in the mask
I2 = I;
I2(~M) = 0;
% Show it
imshow(I2)
2 comentarios
Image Analyst
el 17 de Oct. de 2016
Try thresholding and using
binaryImage = bwareafilt(binaryImage, 1);
to extract the largest blob (or should I say boob) only.
Más respuestas (2)
Image Analyst
el 29 de Oct. de 2014
You can use my ExtractNLargestBlobs() function, in my attached ExtractLargestBlob file. Uh, maybe you could rename it ExtractLargestBoob for your case. :-)
Just threshold at some low number and this will take the largest blob (boob) in the image. This will work assuming the breast can be thresholded into one large contiguous region, not several regions, which seems like a good assumption.
8 comentarios
Image Analyst
el 31 de Oct. de 2014
There could be lot of situations that you need to handle to be completely robust. I gave a solution for one of them. Each time you add another weird situation, the algorithm will need to be modified. For example, in the above case there seems to be a dark grey path connecting the breast to the tag. So you need to handle that, say by raising the threshold so there's a break between the breast and the tag. But then that may shrink the breast in other places, which you don't want. One thing to note is that the tag's texture is not as much as the breast. So you could use a texture filter to determine what areas are breast and which are smooth background and tag. You can split apart the breast and the tag with watershed, and check if the texture inside the split blobs is smooth, meaning it's a tag, or rough, meaning it's breast. Bottom line, you may have to combine several methods to make it more robust to all the possible situations that might occur.
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