R package that classifies colors in biological images.

client

Alfaro Lab, UCLA Department of Biology

year

2020 → 2026

timeframe

Ongoing

R

PACKAGE

RESEARCH

charisma workflow

Problem

charisma provides a standardized, reproducible framework for characterizing discrete color classes in digital images of biological organisms.

Solution

charisma automatically classifies colors in images into 10 human-visible categories using a biologically-inspired Color Look-Up Table (CLUT): Black · Blue · Brown · Green · Grey · Orange · Purple · Red · White · Yellow

Key Features ✨ Fully Reproducible: Complete provenance tracking of all operations 🎨 10 Color Classes: Biologically-relevant discrete color categories 🔧 Flexible Workflows: From fully automated to completely manual 📊 Evolutionary Integration: Seamless compatibility with geiger, phytools, pavo ⚡ High-Throughput: Designed for analyzing large image datasets 🔍 Validated CLUT: Non-overlapping HSV color space partitions

CLUT Editor 3D Visualization