أدوات استخراج لوحات الألوان

vibrant.js is a JavaScript color extraction library used to identify dominant color palettes from images based on the Android Palette algorithm. It functions as an image palette generator and a color processing tool that converts extracted data between RGB, HSL, and Hexadecimal formats. The library analyzes image pixels to categorize colors into specific profiles, including vibrant, muted, dark, and light. It also includes an accessible text color calculator that determines high-contrast hex colors for text overlays based on a selected background color. The toolset covers automated palette g

Color-thief is a color quantization library and image color palette extractor designed to identify the most prominent colors in visual media. It functions as a semantic color classifier and color space converter, providing tools to extract dominant colors and generate representative palettes from images, videos, and canvas elements. The project utilizes a WebAssembly color processor and background workers to perform high-performance pixel analysis. It implements a WCAG contrast analyzer to calculate color contrast ratios and determine accessible foreground text colors based on accessibility s

Chameleon is a color framework for Swift and Objective-C applications. It provides systems for programmatic color palette generation, global theme orchestration, hexadecimal conversion, and the extraction of visual data from images. The library includes a dynamic theme engine for applying global visual styles and luminance adjustments across an interface. It features a palette generator for creating analogous, complementary, and triadic color schemes based on a seed color, and an image color extractor to derive average colors or palettes from images. The framework covers a range of color man

Color-thief-py is a Python library designed to analyze digital images for the purpose of extracting prominent color information. It functions as a computer vision tool that processes image files to identify the single most dominant color or to generate a representative color palette based on the visual composition of the source. The library utilizes the Pillow imaging library to handle diverse file formats and load image data into memory as structured pixel arrays. By mapping these pixels into a three-dimensional color space and applying median-cut quantization, the tool identifies statistica

Node-vibrant is a JavaScript image processing library designed to extract color palettes from media assets for use in dynamic user interface theming. It functions as an automated design tool that identifies dominant and muted hues to maintain visual harmony across application interfaces. The library utilizes quantization-based color clustering and heuristic-based scoring to group pixel data into representative color sets. By offloading these computationally intensive analysis tasks to background threads, the project ensures that the main execution thread remains responsive during image proces

This project is a Java-based toolkit that integrates the OpenCV computer vision library into the Processing creative coding environment. It provides a programming interface designed to facilitate the inclusion of real-time image analysis and computer vision algorithms within interactive art installations and visual design projects. The library distinguishes itself by wrapping low-level C++ routines into a managed environment, allowing users to perform complex visual tasks through a simplified interface. It supports high-performance operations by sharing raw pixel data between the host environ

Simple image color extractor written in Go with no external dependencies

Extract colors from an image like a human would do.