[kwon-young]

A few years ago, my dad working in chips control quality asked me how to do exactly this but with images from optical microscopes.

I can confirm what the post affirms that panorama stitcher softwares are not able to do the job. But what I found was that the opencv Stitcher class can do this perfectly out of the box. Unfortunately, there was no existing gui for the class at the time, so I quickly made one in 3 days: https://github.com/kwon-young/ImageStitcher

It would have been nice if the post had compared it's approach to the Stitcher class. Maybe the number of images or the size of the final image or the stitching error control cannot be sufficiently controled with the Stitcher class ?

[bArray]

It's really not clear from that readme what it's about, maybe more people would be interested if it was more descriptive and had a screenshot?

[kwon-young]

Yeah, I should really try to improve it... But it was just 3 days hacking to put a frontend on the opencv Stitch class and produce an exe that my dad could use.

[geon]

What does it do that hugin doesn’t?

[kwon-young]

I don't recall finding hugin when I did my (short) research on image stitching tool. Thanks to you, I've read the scanned image stitching documentation and I suppose it could work.

However, the process seems quite complicated and slow, asking you to draw control points and all that.

Microscope pictures have the particularity that there are nearly no deformation to the image but you have a lot of them, so you want the process to be as automatic as possible. That was the goal of my tool, make the simplest gui anf process possible for the task at hand.

[geon]

Hugin does have automatic feature detection. https://discuss.pixls.us/t/long-graffitti-from-raw-photos-wi...

Perhaps it doesn't work with the regular patterns of a chip, like the article mentioned.