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-rw-r--r--fit_image.m11
-rw-r--r--fitgaussian2D.m2
2 files changed, 12 insertions, 1 deletions
diff --git a/fit_image.m b/fit_image.m
new file mode 100644
index 0000000..e682e4d
--- /dev/null
+++ b/fit_image.m
@@ -0,0 +1,11 @@
+function fit_params=fit_image(f,init_params,X,Y,img, pLowBound, pUpperBound, options)
+
+%options = optimset('lsqnonlin');
+%options.Display = 'iter';
+%options.TolFun = tolerance;
+
+fit_params = lsqnonlin( ...
+ @(p) Gaussian2D(p,X,Y) - img, ...
+ init_params,pLowBound,pUpperBound,options ...
+ );
+
diff --git a/fitgaussian2D.m b/fitgaussian2D.m
index 817cb77..c3a7051 100644
--- a/fitgaussian2D.m
+++ b/fitgaussian2D.m
@@ -78,7 +78,7 @@ initpar = [cx,cy,sx,sy,PeakOD,theta,background];
%this is to avoid errors when doing fits on the image full of zeros
if isnan(sum(sum(Gaussian2D(initpar,X,Y)-m))) < 1
% Here is the actual fit
- fp = lsqnonlin( @(pt) Gaussian2D(pt,X,Y)-m,initpar,LB,UB,options);
+ fp = fit_image(@Gaussian2D, initpar, X, Y, m, LB, UB, options);
else
fp = [0,0,0,0,0,0,0];
end;