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Fitting a 3D gaussian to a 3D matrix

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Yatish Yatish
Yatish Yatish 2021 年 2 月 8 日
編集済み: Matt J 2021 年 2 月 10 日
I have a 3D matrix that I need to fit with a 3D gaussian function:
I need to get A, and all three σ's as the output after fitting.
I have tried to do it using Least Square fitting as:
F=@(param,Mat) param(1)*exp(-(Mat(:,:,:,1).^2/(param(2))^2+Mat(:,:,:,2).^2/(param(3))^2+Mat(:,:,:,3).^2/(param(4))^2));
param0=[80000,10,10,10]; % initial parameters
param=lsqcurvefit(F,param0,Mat,D); % D is the 3D matrix that needs to be fit.
But, I get various errors. I don't think my approach is correct. Is there any other way?

回答 (2 件)

Are Mjaavatten
Are Mjaavatten 2021 年 2 月 8 日
meshgrid arranges the xx and yy output matrices to fit the convention where the surface plots have x on the horizontal axis and y on the vertical, while you want to have x vary in the vertical direction in your matrices.
should fix the problem.
  5 件のコメント
Yatish Yatish
Yatish Yatish 2021 年 2 月 10 日
The problem was with the matrix that I had attached. It works perfectly for the right 3D data. Thanks a lot for your help! :-)


Matt J
Matt J 2021 年 2 月 10 日
編集済み: Matt J 2021 年 2 月 10 日
You can also use gaussfitn,
lbCell={0,[],[], zeros(3)};
ubCell={0,[],[], +diag(inf(1,3))}
param0={0,80000,[0,0,0], (1/10)*eye(3) };
param = gaussfitn([xx(:),yy(:),zz(:)], D(:),param0, lbCell, ubCell)

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