MATLAB: How to remove weak edges in a binary photo

digital image processingimage analysisimage processingImage Processing Toolboximage segmentation

See attached photos for reference.

I tried watershedding, it breaks apart the main body and doesn't even touch the part I want disconnected!

morphology is no good, the holes in the main body easily break in two before the edges I want disconnected come off.

imfill doesn't solve this, it fills the hole between the two trouble areas as well as the holes in the main body.

I have thousands of similar photos, so I need to come up with something robust.

I'd appreciate any help I could get!

Best Answer

It's not exactly clear where to separate the blobs. There are many, many thin parts where a separation could possibly be made. You might try filling in black islands in a certain size range and then trying watershed again. So invert the image, call bwareafilt(), then invert again.

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MATLAB: Segmentation of roughly circular objects in an image.

Normally we don't give advice on algorithms, since this is a MATLAB forum, but you might try a sigma filter or a morphological erosion to get rid of the white clutter. Then try to flatten the image with CLAHE using adapthisteq(). Then try thresholding, labeling, and calling regionprops. Throw out blobs that aren't round by checking their circularity (perimeter^2/(4*pi*area)). Or you could try imfindcircle and see how that does. Try Brett's GUI to make it easy: http://www.mathworks.com/matlabcentral/fileexchange/34365-findcirclesgui

MATLAB: How to fill holes having area less than some maximum threshold value

Invert the image so that the holes are now foreground blobs, then call bwareaopen, and invert again

binaryImage = ~bwareaopen(~binaryImage, 20);

Best Answer

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MATLAB: Segmentation of roughly circular objects in an image.

MATLAB: How to fill holes having area less than some maximum threshold value

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