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

A tiny web app that lets you create custom Ishihara-style color blindness tests—type your own text and see how subtle color choices can hide (or reveal) it to different eyes. Built with plain HTML, CSS, and JavaScript using the HTML5 Canvas API.

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 ⛵🗺️

An original app that hel people to know if they have color blindness

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.

color anomaly experimentation.

Extending the simple Ishihara dataset by applying color correction in the LAB color space.