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---
title: Color Quantification Tool
emoji: π’
colorFrom: blue
colorTo: red
sdk: gradio
sdk_version: 5.35.0
app_file: color_quantification_app.py
pinned: false
license: mit
short_description: Color Quantification Tool
---
# π¨ Color Quantification Tool
**Professional Color Analysis Platform** - Web Demo Version
This is a simplified web demonstration of the Color Quantification Tool. For full functionality and advanced features, please download the desktop application.
## π Features (Web Demo)
- **Single Image Analysis**: Upload and analyze individual images
- **Color Extraction**: K-means clustering for dominant color identification
- **Visual Results**: Color palette and percentage distribution
- **Real-time Processing**: Instant analysis with interactive interface
## π₯οΈ Desktop Version
The full desktop application offers advanced features:
### π¬ **Advanced Analysis**
- Multi-color space analysis (RGB, LAB, HSV)
- Professional distance metrics (ΞE2000, Bhattacharyya, Euclidean)
- Statistical analysis with comprehensive reporting
- Configurable clustering parameters
### π **Professional Visualizations**
- 3D color space distribution plots
- Distance matrix heatmaps with scientific colormaps
- Interactive dashboard with zoom and pan controls
- High-quality export options (PNG, SVG, HTML)
### πΎ **Export & Reporting**
- Excel reports with detailed statistics
- CSV data for further analysis
- JSON format for machine processing
- Professional PDF reports
### β‘ **Performance**
- Batch processing of thousands of images
- GPU-accelerated computation
- Multi-threaded analysis
- Progress tracking and logging
## π₯ Download Desktop Version
**Latest Version: v1.0.0** | **File Size: 1.1GB** | **Platform: Windows 64-bit**
### Primary Download Links:
- π **GitHub Repository**: [ColorQuantificationTool](https://github.com/your-username/ColorQuantificationTool)
- π **Releases**: [Download Latest Version](https://github.com/your-username/ColorQuantificationTool/releases)
### System Requirements:
- **OS**: Windows 10/11 (64-bit)
- **RAM**: 8GB minimum, 16GB recommended
- **Storage**: 2GB free space for analysis results
- **Display**: 1920x1080 or higher resolution
## π Quick Start (Web Demo)
1. **Upload an image** using the file uploader
2. **Adjust parameters** (number of colors to extract)
3. **Click "Analyze Colors"** to start the analysis
4. **View results** in the interactive table and color palette
## π Use Cases
### π¬ **Scientific Research**
- Color analysis in biological specimens
- Material science color characterization
- Quality control in manufacturing
### π¨ **Creative Industries**
- Digital art color palette analysis
- Brand color consistency verification
- Print color matching and calibration
### π **Data Analysis**
- Image dataset color profiling
- Batch color extraction and clustering
- Statistical color distribution analysis
## π Security & Privacy
- **Local Processing**: All analysis performed locally (desktop version)
- **No Data Collection**: Web demo processes images temporarily
- **Open Source**: Code available for security audit
- **Privacy First**: No user data stored or transmitted
## π License
This project is licensed under the MIT License.
## π Acknowledgments
- Built with Python, NumPy, OpenCV, Matplotlib, and scikit-learn
- Web interface powered by Gradio
- Color science algorithms based on CIE standards
- Special thanks to the open-source community
## π Support
- π **Issues**: [GitHub Issues](https://github.com/your-username/ColorQuantificationTool/issues)
- π **Documentation**: [User Guide](https://github.com/your-username/ColorQuantificationTool/blob/main/User_Guide_Instructions.md)
- π¬ **Community**: Join our user community
---
**β If this tool helps your research or work, please consider giving it a star on GitHub!**
*Color Quantification Tool - Making color analysis accessible to everyone* |