Image segmentation for color blindness tests

This Python program, which makes use of scikit-learn, utilizes K-means clustering to group the pixels of an image into two or more distinct groups (clusters) based on their colors. It’s used here to distinguish the number in Ishihara color blindness tests from the backgrounds.

JavaScript must be enabled to view comments