How to remove candidates which are present on blood vessels?

Hello,

I am trying to remove pixels which are present on the blood vessels.I have two images ,one is the candidates image and the blood vessels image.I have studied that candidates won't occur on blood vessels.So, i have to eliminate the candidates which are present on blood vessels and get the output image.Can anyone help me with this?

This is the bood vessel image and the candidate image is below as

I want to remove white dots on candidate image which are present on blood vessels in blood vessels image.

Thank you

[darova]

Try imfill

[Krishna Chaitanya]

Can you please elaborate a little bit?

I'm new to matlab.

[darova]

KALYAN will provide. He is the best in this area

Answer 1

[KALYAN ACHARJYA]

"I have two images ,one is the candidates image and the blood vessels image.I have studied that candidates won't occur on blood vessels.So, i have to eliminate the candidates which are present on blood vessels and get the output image"

Use appropriate logical Operations, for example

result=bloodvessels_image & ~candidate_image

[Krishna Chaitanya]

But that would result in candidates lying on blood vessels that needed to be eliminated.Can you please provide some pseudocode?

Thank you!

[KALYAN ACHARJYA]

Is the second image represents "candidates lying on blood vessels"?

[Krishna Chaitanya]

The first image is the blood vessel map and

The second image represents all possible candidates from which the ones which are lying on blood vessels needed to be eliminated to get the final output.

[KALYAN ACHARJYA]

That means, you want remove all those white pixels from the first image, which are also present in second image, right? Read carefully my statement please. Please do reply first, the answer seems easy.

[Krishna Chaitanya]

I want to remove all white pixels in second image that also occur on blood vessels in first image.

[KALYAN ACHARJYA]

Already I provided the answer

One way:

result=bloodvessels_image & ~candidate_image

2nd way:

[r c]=find(candidate_image==1);
bloodvessels_image(r,c)=0

Do you have any doubt?

[Krishna Chaitanya]

That didn't help actually.But,I have tried this and it worked

del_region = bloodvessel_img & Candidate_img;
[r c] = find(del_region==1);
Candidate_img(r,c) = 0;

Thank you for your help.Can you help me in applying region growing to the first image,i.e, the blood vessel image?I want to fill the gaps within the blood vessels in first image.Thank you.

[KALYAN ACHARJYA]

First one is much simpler solution. Anyway the problem is resoved with second answer.

You already apply the segmentation on the image, then why region growing?

Is it for vessels extraction for CAD diabetic retinopathy monitoring system?

[Krishna Chaitanya]

The size and shape of detected MA candidates do not represent the true Microaneurysms hence,region growing should be used.

Yes,It is for CAD diabetic retinopathy monitoring system.