Robustly estimate statistical model in image [closed]

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As you known, we have many statistical model to represented intensity image. But each model will satify for specical image. I want to estimate best statistical model for my given image. My idea is that I will build my given image as histogram distribution and then I will construct a statistical model (Ex: gaussian, Rayleigh...). After that, I will choose best model base on min square error compare with histogram distribution. How to do it in matlab. Thank you so much. Or if you have other idea to estimate it, please suggest

Answer 1

As I said it in the comments, use the curve fitting toolbox offered by Matlab. Half of the work is already done there, you just need to input the right equation in there. mathworks.fr/fr/help/curvefit/index.html

I strongly suggest you to use cumulative distribution functions instead of histograms. Then you can use the integral of your models.