Image registration with different x and y scales
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I am attempting to use imregcorr to register 2d images obtained from a fluorescence microscope. I did
tform = imregcorr(MOVING,movingRefObj,FIXED,fixedRefObj,'transformtype','similarity','Window',true);
imwarp(MOVING, movingRefObj, tform, 'OutputView', fixedRefObj, 'SmoothEdges', true);
In these images, nearly all of the signal should be colocalized, but I see poor registration along the x-axis: the red signals at the left side are shifted left while the red signals at the right side are shifted right. Registration on the y-axis looks ok. The red channel is the moving image in this example.

imregcorr returns the following affine transformation matrix:
>> tform.T
ans =
0.9863 0 0
0 0.9863 0
3.7267 7.7000 1.0000
The X and Y scale factors are both the same (0.9863), which seems suspicious to me; visually, it looks like the scale should be smaller along the x axis so that the image is stretched. I suspect that this function is somehow constraining the X and Y scales to be the same. Is there an option that allows them to be independent, or another function that allows registration with independent scaling of the two axes?
I have also tried imregister with both the "similarity" and "affine" options, but with similar results.
Thanks for any input.
4 Comments
Alex Mcaulley
on 5 Feb 2020
Yes, they are really similar.. Can you share the original images (moving and fixed)? I can see in the composite what you say " the red signals at the left side are shifted left while the red signals at the right side are shifted right". If this happens in the original images, cannot be corrected with an affine registration.
Answers (1)
Steve Eddins
on 13 Oct 2025 at 23:54
I know I'm 5+ years late to this question, but I just now came across it while reviewing old questions about imregcorr.
The transformation types supported by imregcorr are translation, rigid (rotation + translation), and similarity (isotropic scaling + rotation + translation). These transformations cannot handle the case where the horizontal and vertical scaling are different, as in this example.
You would need to try a different registration function, such as imregister, and experiment with the different transformation types available to see if one is appropriate for your data.
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