ColorComposition

Python object: phenotypic.schema._color_composition.ColorComposition

Classify colony pixels into 11 perceptual color categories and measure composition.

Applies a priority-based color model (neutrals → special colors → hues) to classify each colony pixel into one of 11 categories: Black, White, Gray, Pink, Brown, Red, Orange, Yellow, Green, Cyan, Blue, Purple. Returns per-colony percentage breakdowns as DataFrame columns.

Category: ColorComposition

Column label	Description
ColorComposition_BlackPct	Percentage of pixels classified as black (Value < 20)
ColorComposition_WhitePct	Percentage of pixels classified as white (Saturation < 15, Value > 85)
ColorComposition_GrayPct	Percentage of pixels classified as gray (Saturation < 15, Value 20-85)
ColorComposition_PinkPct	Percentage of pixels classified as pink (Red/Magenta hue, Saturation 20-60, Value > 80)
ColorComposition_BrownPct	Percentage of pixels classified as brown (Red/Orange hue, Value 20-60)
ColorComposition_RedPct	Percentage of pixels classified as red (Hue 0-15° or 345-360°)
ColorComposition_OrangePct	Percentage of pixels classified as orange (Hue 15-45°)
ColorComposition_YellowPct	Percentage of pixels classified as yellow (Hue 45-75°)
ColorComposition_GreenPct	Percentage of pixels classified as green (Hue 75-150°)
ColorComposition_CyanPct	Percentage of pixels classified as cyan (Hue 150-180°)
ColorComposition_BluePct	Percentage of pixels classified as blue (Hue 180-250°)
ColorComposition_PurplePct	Percentage of pixels classified as purple/magenta (Hue 250-345°)