How to convert TrakEM2 transform to rotation angle and x,y translations

Hi all,

I’m using Fiji/ ImageJ 1.52p to create a new TrakEM2 project, in order to register stack of images. That parts works great! Now I would need to take the registration parameters and convert them to rotation angle + x,y translations, to be used in another system. Any ideas or tips how to do this? I tried to find some documentation of how to do it, or how the transform matrix works, but I couldn’t find anything, so if anyone can point me to right direction where I could find any documentation, that would be much appreciated. Below is example of project xml file that I was looking at… my planned approach is to take the transform=“matrix(1.0,0.0,-0.0,1.0,53.0,72.0)” part, and convert that to rotation angle + x,y, if possible.

Also, I’m also open for other ideas of how to do the same (rigid registration + getting the rotation angle + x,y), without using TrakEM2, if anyone has done similar thing already.

Thank you already in advance!

Here is a clip from TrakEM2 project.xml:


Usually this kind of transformation can be written in the shape of a 3x3 matrix, in your case it would look like this:

trsf = [ [1.0, -0.0, 53.0],
         [0.0,  1.0, 72.0],
         [0.0,  0.0,  1.0] ]

(it is usual to omit the last line since it is always the same value).
Note that in your case, your matrix only have an x and a y translation, no rotation.
From such matrices you can express any linear transformation (more in-depth information there or there).

Now, if you want to extract the rotation and the translation from that matrix you can use the following python package: transformations from Christoph Gohlke and more specifically the function decompose_matrix. Though one has to be careful since this library is designed for 3D transformations and the function is expecting 4x4 matrices as an input. I would rewrite the matrices accordingly, for example, in your case:

trsf_3D = [ [1.0, -0.0, 0.0, 53.0],
            [0.0,  1.0, 0.0, 72.0],
            [0.0,  0.0, 1.0,  0.0],
            [0.0,  0.0, 0.0,  1.0] ]

I hope that helps,

Léo, thank you so much for your answer. I’m new to transformations, and image manipulation in general, and this really helps me into right direction!