The original title is: "Building a color replacer: why RGB matching fails on photos and how HSV fixes it"

Short summary

HSV color matching solves a core problem with RGB-based color replacement: it separates hue from brightness, so shadows and highlights of the same color get picked up correctly. Preserve original saturation and value during replacement to maintain texture. Intelligent scissors using Dijkstra's algorithm enables magnetic edge-tracing selection.

• •RGB distance matching fails on real photos because shadow/highlight variations create huge color distances
• •HSV separates hue from brightness, fixing the problem with tight hue tolerance and independent S/V sliders
• •Preserve saturation and value when replacing to maintain texture; use Dijkstra's algorithm for intelligent edge-following selection

Generated with AI, which can make mistakes.