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Thread Subject:
Disentangling superimposed images

Subject: Disentangling superimposed images

From: Karl

Date: 16 Aug, 2011 13:15:49

Message: 1 of 3

Hi, here is my problem. I have an nxm matrix which has two circularly symmetric patterns superimposed (they are not the same and their centres are different on the two images). I was wondering if anyone had a good idea on how to disentangle them so I can have the two seperate images? I realize there is an infinite number of solutions if you do not assume that the final images must be circularly symmetric. If anyone has a solution or just help that would be really great!

Thanks!

Sincerely,
Karl

Subject: Disentangling superimposed images

From: Matt J

Date: 16 Aug, 2011 14:38:11

Message: 2 of 3

"Karl " <karllandheer@gmail.com> wrote in message <j2dqi5$bpr$1@newscl01ah.mathworks.com>...
> Hi, here is my problem. I have an nxm matrix which has two circularly symmetric patterns superimposed (they are not the same and their centres are different on the two images). I was wondering if anyone had a good idea on how to disentangle them so I can have the two seperate images? I realize there is an infinite number of solutions if you do not assume that the final images must be circularly symmetric. If anyone has a solution or just help that would be really great!
=================

What's known and what's unknown? Do you know where the centers are, for example?

Subject: Disentangling superimposed images

From: ImageAnalyst

Date: 16 Aug, 2011 21:26:18

Message: 3 of 3

On Aug 16, 9:15 am, "Karl " <karllandh...@gmail.com> wrote:
> Hi, here is my problem. I have an nxm matrix which has two circularly symmetric patterns superimposed (they are not the same and their centres are different on the two images). I was wondering if anyone had a good idea on how to disentangle them so I can have the two seperate images? I realize there is an infinite number of solutions if you do not assume that the final images must be circularly symmetric. If anyone has a solution or just help that would be really great!
>
> Thanks!
>
> Sincerely,
> Karl

--------------------------------------------
Try watershed segmentation:
http://cmm.ensmp.fr/~beucher/wtshed.html
MATLAB has a watershed function in the Image Processing Toolbox.

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