Hi
Apologies if this question has been asked before, I wasn't sure what the keyword to search for was
Here is an integration of some robotic scope images I took in Ha, I have other narrowband images that I combine to make a colour image
However, as you can see there is a skewing of the image, I assume because the orientation of the images differed significantly ( regardless of how that happened ).
So my question is, by using batch processing is there a way of identifying the images with the largest deviation from average such that I don't get this rotation effect and thus have to crop
I did use the subframe selector in Ripley 1087 but I used largely default parameters