A practical guide to selecting meaningful accent and text colors from an image palette using HSV color space. Covers calculating colorfulness via saturation×value product, normalizing color population counts, combining them with a weighted average to rank colors, and then picking primary, secondary, and tertiary accent colors based on hue difference and YIQ luma contrast thresholds. Includes working Java/Android code snippets and a GitHub Gist.
