How to identify Gaussian type maxima in an image

1 次查看（过去 30 天）
SRT
SRT 2024-10-3
编辑： Matt J 2024-10-3
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 个评论
显示 1更早的评论
SRT
SRT 2024-10-3
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 2024-10-3
Oh so it's more about finding the maximum that also locally fits a gaussian profile.

请先登录，再进行评论。

请先登录，再回答此问题。

回答（1 个）

Matt J
Matt J 2024-10-3
编辑：Matt J 2024-10-3
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,
https://www.mathworks.com/matlabcentral/fileexchange/69116-gaussfitn
You can then assess the quality of the fit from the optimal fval to see if it is an admissible maximum.

类别

在 Help Center 和 File Exchange 中查找有关 Image Category Classification 的更多信息

标签

产品

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by