Blob Analysis - Subtract Large Blobs from Image (Keeping Small Blobs) to create a mask image

Asked by Sarah on 10 Jul 2012
Latest activity Answered by Jeff EA on 10 Jul 2012

Hello! I am currently working on some image processing stuff and am having trouble with deleting/subtracting blobs in a binary image that are less than 2000 pixels. I have used bwareaopen to do the opposite (removing blobs less than 2000 pixels). I need a way of doing this simply. I have looked at other files here, including the one posted by ImageAnalyst, but, none of it seems to be helping the way I want it to. Any suggestions? Please and thanks!

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Steve Eddins on 10 Jul 2012

I'm not sure I understand your question. Do you mean that you are having trouble deleting blogs that are more than 2000 pixels?

If that's what you mean, then I recommend Jeff EA's answer below.

Sarah

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2 Answers

Answer by Jeff EA on 10 Jul 2012

Yes, there is no built-in inverse of bwareaopen. You can achieve this with some simple logic operations:

mask_out = mask_in & ~bwareaopen(mask_in, 2000);

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Jeff EA
Answer by Kevin Claytor on 10 Jul 2012

You can run "bwconncomp()" to segment the binary image into chunks, then get the size of the chunks with "regionprops()". One of the fields that will be created is "Area" for which you can do whatever threshold you would like (<2000, >2000, etc). An example would be;

bw = imread('mybinaryimage.bmp'); % Your image
cc = bwconncomp(bw, 4)
graindata = regionprops(cc,'basic')
grain_areas = [graindata.Area];
figure, hist(grain_areas,20)
title('Histogram of Binary Blob size');

See this link for the full demo; http://www.mathworks.com/products/image/examples.html?file=/products/demos/shipping/images/ipexrice.html

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Kevin Claytor

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