Python - Best way to find similar images in a directory

Question

Here is the effect I am trying to achieve - Imagine a user submits an image, then a python script to cycle through each JPEG/PNG for a similar image in the current working directory.

Close to how Google image search works (when you submit your image and it returns similar ones). Should I use PIL or OpenCV?

Preferably using Python3.4 by the way, but Python 2.7 is fine.

Wilson

This might help - http://stackoverflow.com/questions/13379909/compare-similarity-of-images-using-opencv-with-python — Tanveer Alam, Nov 03 '14 at 11:15
Also http://stackoverflow.com/questions/75891/algorithm-for-finding-similar-images — NPE, Nov 03 '14 at 11:15
http://www.pyimagesearch.com/2014/12/01/complete-guide-building-image-search-engine-python-opencv/ — Tanveer Alam, Jul 21 '15 at 10:52

score 1 · Answer 1 · answered Sep 03 '21 at 21:12

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I mean, why not use both? It's trivial to convert PIL images into OpenCV images and vice-versa, and both have niche functions that can make your life easier. Pair them up with sklearn and numpy, and you're cooking with gas.

answered Sep 03 '21 at 21:12

v0rtex20k

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erdogant · Answer 2 · 2022-03-07T15:57:45.157

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I created the undouble library in Python which seems a match for your issue.

It uses Hash functions to detect (near-)identical images in for example a directory. It works using a multi-step process of pre-processing the images (grayscaling, normalizing, and scaling), computing the image hash, and the grouping of images based on a threshold value.

edited Mar 07 '22 at 15:57

answered Feb 01 '22 at 19:20

erdogant

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Python - Best way to find similar images in a directory

2 Answers2