The output in this code represents the structural similarity index between the two input images. This value can fall into the range [-1, 1] with a value of 1 being a perfect match. SSIM index may not be restricted to image processing. In fact, because it is a symmetric measure, it can be thought of as a similarity measure for comparing any two signals. The signals can be either discrete or continuous, and can live in a space of arbitrary dimensionality.

Spot differences in images using Python and OpenCV
Apr 02 2021

Veena Sarda

As kids, we use to play spot the differences in images game. This video is about spotting differences in images. Not only will you get the differences, you would also get the similarity index. One important application for checking difference in images is to check phishing attacks.