I’ve searched all possible related keywords that I can think of, but the results are not really what I’m looking for, as most algorithm I found puts high concern on COLOR.

The idea of my application is to identify a image pair with highest similarity.

For example, my input is a, the image pool contains b,c,d,e. The result would be something like b(90%), c(20%), d(85%), e(80%).

My question is what approach can be adopted for calculating such “image similarity”? Or I must build my own code from zero?

I tried using SSIM, Histograms and Dense Vector Representations but most of these did not work 🙁

Image of the inputs