ishihara

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 ⛵🗺️

Browser-based bilingual (TR/EN) vision-screening app: Ishihara color, Snellen acuity, Amsler grid & contrast tests, with webcam distance gating and hands-free voice control. Vite + Vue 3. Not a medical diagnostic tool.

Open, published color-vision method (Machado 2009 + CIEDE2000, DOI 10.5281/zenodo.21310578) — 17 on-device browser vision tests, plus 30 packages on PyPI, npm and MCP so you can run the colorimetry yourself.

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

color anomaly experimentation.

Platform skrining buta warna berbasis AI

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.

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

Color Vision Helper (色觉助手): a phone web app for color-blind and color-weak people. Aim the reticle to name any color and outline its region, or turn on real-time correction to tell red from green. Includes a 2-minute color-vision test. Installable PWA, runs fully on-device.