A PHP library that extracts dominant and representative colors from images using human-like perception.
ColorExtractor is a PHP library that analyzes images to extract dominant and representative colors, mimicking how humans perceive color. It handles transparency by blending pixels against a specified background and provides tools to generate sorted color palettes. The library solves the problem of programmatically identifying the most visually significant colors in an image for applications like design automation or image analysis.
PHP developers working on image processing, design automation, or applications that require color analysis, such as generating color palettes from user-uploaded images or automating design tasks based on image colors.
Developers choose ColorExtractor for its human-like color perception, transparency handling, and simple API, making it a reliable alternative to manual color picking or basic pixel-counting methods. It provides accurate and visually meaningful color extraction with minimal configuration.
Extract colors from an image like a human would do.
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Mimics how humans perceive color by prioritizing visually significant hues over raw pixel counts, as emphasized in the project's philosophy for more meaningful results.
Allows blending transparent pixels against a specified background color, ensuring accurate color perception as described in the README's transparency section.
Offers intuitive methods like `extract()` for representative colors and `getMostUsedColors()` for frequency-based analysis, making integration straightforward with minimal code.
Provides helpers such as `Color::fromIntToHex()` for conversion between integer and hexadecimal formats, simplifying color manipulation in PHP.
Requires explicitly setting a background color for transparent pixels, which can be cumbersome if the background isn't known or varies across images, adding setup complexity.
Limited to PHP environments, making it unsuitable for front-end applications or projects in other programming languages where more versatile libraries might be needed.
Focuses on fundamental color extraction without advanced capabilities like color space conversions or real-time processing, which might limit use in specialized image analysis tasks.