Computer Vision Based System to read the numbers in an Ishihara Plate test

A Python tool for extracting hidden numbers from Ishihara color blindness test images using a custom K-means clustering algorithm. Supports multiple color spaces (RGB, HSV, Lab, YCrCb) and includes visualization, CLI tools, and parameter optimization for enhanced accuracy.

by team ColoRight // Ellie, Elin, Eva, and Jenny // March 9th-10th, 2024 ⛵🗺️

Reverse Ishihara is a Python image generator that creates reverse Ishihara-style dot plates, showing a subtle plate for normal vision alongside a simulated deuteranopia or protanopia view where the hidden number becomes clearer.