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How to identify Gaussian type maxima in an image

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SRT
SRT on 3 Oct 2024
Edited: Matt J on 3 Oct 2024
I need to identify the correct maximum in a 2D image, which may not may not be a global maxima and is a kind of gaussian or asymmetric type.
Some example are attached.
A method other than imregionalmax or findpeaks is needed
Any suggestion
Thanks
  3 Comments
SRT
SRT on 3 Oct 2024
The right maxima. it can be global or local. The image shows the examples of right maximas and wrong maximas.
findpeaks in 2D is slow
imregionalmax has maximum connectivity of 8 pixels in 2D, the 2D maxima can have spread over 10 - 50 pixels.
using imregionalmax i can generate a list of candidate. I wanna check each one now. I may like to filter the one which are non symmetrical maximas.
DGM
DGM on 3 Oct 2024
Oh so it's more about finding the maximum that also locally fits a gaussian profile.

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Answers (1)

Matt J
Matt J on 3 Oct 2024
Edited: Matt J on 3 Oct 2024
using imregionalmax i can generate a list of candidate. I wanna check each one now. I may like to filter the one which are non symmetrical maximas.
One possibility would be to pull out the surrounding pixels of these candidates - in a neighborhood you think broad enough - and do a Gaussian fit, e.g., with this FEX download,
You can then assess the quality of the fit from the optimal fval to see if it is an admissible maximum.

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