The image comparison algorithm works by breaking down images into smaller components, such as pixels or features, and then comparing these components between different images. It looks for similarities in color, shape, texture, and other visual characteristics to determine how closely the images match. This process helps identify similarities and differences between images for analysis and identification purposes.
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