How can i detect homogeneous areas??

Hello, How can i detect homogeneous areas in an image with matlab?? thanks

Answers (1)

Image Analyst
Image Analyst on 2 Oct 2012
I would try some spatial filters like stdfilt() and entropyfilt() to get images with high signal where there is high variance. Then threshold that to select dark areas, which are the "uniform" areas. What you do after that depends on what you want to do once you have the uniform areas.

7 Comments

Pamela Paolo
Pamela Paolo on 5 Oct 2012
Edited: Pamela Paolo on 1 Nov 2012
Hello, I'll try to explain again my goal and hope to have the most appropriate method because I have tried to use these filters but I did not get the desired result. I want to detect homogeneous regions(containing neither dots nor globules ...) thanks
OK. You already know how to upload images, so come back if you need help.
There are lots of papers on characterizing skin lesions. Go to section "20.13.3 Medical Applications -- Skin Cancer, Melanoma, Skin Lesions" at VisionBib. From the looks of your image, you could easily find it with just color segmentation, or maybe that combined with texture analysis. But those papers have already investigated this for decades and they will give you the best algorithms, probably way better than just saying to do texture analysis.
Pamela Paolo
Pamela Paolo on 9 Oct 2012
Edited: Pamela Paolo on 1 Nov 2012
Hi
thank you for your answer but I didn't understand how to use the color segmentation and the texture analysis to detect homogeneous areas, knowing that the goal is to have a binary image containing only this homogeneous region in white. thanks
SO, have you totally given up on trying to understand? Or are you still working on it?
I am doing image segmentation by using a matlab code, im getting the final output in the form of image size matrix sax 320*280 with quantized segemnted values, now i want to extract the different similar regions from it, can any one guide me abt any possible way , the regions are not homogeneous they varray in dimension and depends upon scene conditions
Post your image in a new question. I'm not sure what you're asking. You say you're already getting the segmented output, so what's left to do?

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Asked:

on 2 Oct 2012

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on 23 Mar 2015

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