MATLAB Content-Based Image Retrieval with Color Feature Extraction

This implementation provides comprehensive MATLAB source code for Content-Based Image Retrieval (CBIR) systems. The core methodology employs advanced color feature extraction techniques that ensure high retrieval efficiency and accuracy. The system architecture includes key algorithms for processing color information through histogram analysis and feature vector comparison. The codebase contains modular components for image preprocessing, feature extraction using color moments and color histograms, similarity measurement algorithms (such as Euclidean distance or cosine similarity), and retrieval optimization. Additionally, the package includes a complete graphical user interface (GUI) built with MATLAB's App Designer or GUIDE, allowing intuitive interaction with the retrieval system. The implementation also comes with a curated image database for testing and validation purposes. Developers can utilize this comprehensive resource to understand CBIR implementation details, modify feature extraction parameters, and extend the system with additional retrieval features. The code follows MATLAB best practices with clear commenting and modular structure for easy customization and integration into larger image processing workflows.