I have a dataset of binary images where each image contain a shape of the form of: circle, line or an arc, where each shape can have different radius, length or angle of the arc etc.
I am looking for finding a metric for comparing the images such that similar images that contains similar shape in close regions will receive higher similarity score (or low difference score)
Dear Maton Goren,
You could try with Image Similarity API offered by DeepAI
https://deepai.org/machine-learning-model/image-similarity
With bests,
Mansurbek
Maybe you have alredy seen this: https://www.youtube.com/watch?v=16s3Pi1InPU there's a link to github with code examples.
Hope this helps!
Best regards, Michael
Dear Matan Goren
Please take a look at the following links, might be helpful:
https://datascience.stackexchange.com/questions/48642/how-to-measure-the-similarity-between-two-images
https://stackoverflow.com/questions/25977/how-can-i-measure-the-similarity-between-two-images
https://www.pyimagesearch.com/2014/09/15/python-compare-two-images/
Best Regards,
Cecilia-Irene Loeza-Mejía
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