Radius in Mexican Hat

Hello,
I’ve got a question about the Mexican Hat. The ideal answer would be an ImageJ-Wiki-like page where it’s explained, because I haven’t found it.
What role does the radius play and how do I know which one I need?
Thank you.

1 Like

Hey @Diego_Hens,

I assume you mean an ImageJ plugin? To which plugin to you refer to?

This one
https://imagej.nih.gov/ij/plugins/mexican-hat/index.html

Or this one?
http://bigwww.epfl.ch/sage/soft/LoG3D/

Cheers,
Robert

Yes, sorry. It’s a plugin. I mean this one: https://imagej.nih.gov/ij/plugins/mexican-hat/index.html

It should be the radius of the convolution kernel (the laplacian of a gaussian) which in turn relates to the scale of the detected features. You probably need to experiment with various sizes. You should perhaps take a look at Marr’s theory of vision and edge detection.

1 Like

Here is a good paper on this:
https://royalsocietypublishing.org/doi/10.1098/rspb.1980.0020