Table of Contents
This project is a Python-based solution for detecting and analyzing colors in images. It leverages popular libraries such as OpenCV, scikit-learn, and matplotlib to process images, identify dominant colors, and visualize the results. Color detection in images has various practical applications, including image processing, design, and content analysis.
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Image Processing: The project uses OpenCV to load and process images, allowing users to work with various image formats.
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Color Clustering: It applies the K-Means clustering algorithm from scikit-learn to group similar colors in the image. The number of clusters can be configured as needed.
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Color Visualization: The detected colors are presented visually through pie charts, showing the distribution of colors in the image.
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Hex Color Codes: The project also provides hexadecimal color codes for each detected color.
Contributions are welcome! Feel free to submit issues, feature requests, or pull requests. Please follow the Contributing Guidelines.
This project is licensed under the MIT License - see the LICENSE file for details.
Special thanks to the open-source community for providing essential libraries and tools for image processing.