[Future Requirement] Spatial stitching diagnostics/correction of multiple images.

[YooSunYoung]

Note that it's basically a same thing as image feature detection/alignment

Executive summary

Spatial stitching of multiple images.

Context and background knowledge

Odin will have multiple detectors facing different space

Inputs

Multiple images of different space.

Methodology

It might have to either correct/diagnose the overlapping region of images or interpolate the gap between images.

Outputs

Corrected single image containing multiple images from different spaces.

Which interfaces are required?

Python module / function

Test cases

Not provided yet.

Comments

It's not priority yet.

[nvaytet]

Spatial stitching of images is complicated. I would prefer to rely on an external package/library to do this (e.g. opencv?).

[YooSunYoung]

Spatial stitching of images is complicated. I would prefer to rely on an external package/library to do this (e.g. opencv?).

I agree. I guess we'll just wrap the open cv methods and make sure how the methods work in the workflow documentation...?

Also, it was much easier with human eyes since the features in the neutron background image is so subtle....