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charisma 1.0.0

Initial CRAN Release

First public release of charisma - an R package for reproducible color characterization of digital images for biological studies (and other things).

Features

• Automatic Color Classification: Classify image colors into one of 10 discrete, biologically-inspired categories (black, blue, brown, green, grey, orange, purple, red, white, yellow)

• CLUT System: Color Look-Up Table (CLUT) with scientifically-defined HSV boundaries for each color category, validated across 3.6+ million color coordinates

• Main Functions:

  • charisma(): Main color classification pipeline with automatic thresholding
  • charisma2(): Rewind and edit saved charisma objects without re-running full pipeline
  • color2label(): Convert individual RGB/HSV colors to discrete labels
  • validate(): Validate CLUT completeness across color space

• Integration:

  • Leverages recolorize for image preprocessing and color segmentation
  • Optional pavo integration for color pattern geometry analysis
  • Supports both interactive and automated workflows

• Reproducibility:

  • Complete state tracking with merge/replacement history
  • Save and reload analyses with full provenance
  • Deterministic color classification for cross-study comparisons

• Visualization:

  • Plot methods for charisma objects
  • Mosaic plots showing color proportions
  • Color masks and classification overlays

Documentation

• Comprehensive vignette with step-by-step tutorial
• Example data from bird (Tangara fastuosa)
• Tips for museum specimens and automated workflows
• pkgdown website with full documentation

Testing

• Unit tests covering main functions
• Example workflows validated against published results
• CLUT validation across full HSV color space

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.