Image Retrieval System Based on Color Moments and Texture Features

This image retrieval system developed in MATLAB employs advanced color moment analysis and texture feature extraction techniques for efficient image matching. The system includes a comprehensive built-in image database containing diverse image types. Key algorithms implemented include: - Color moment calculations (mean, standard deviation, skewness) for color distribution analysis - Texture feature extraction using methods like GLCM (Gray-Level Co-occurrence Matrix) - Similarity measurement algorithms for comparing query images with database entries The system architecture allows users to input query images and retrieve visually similar matches from the database through feature vector comparison. Implementation involves MATLAB's Image Processing Toolbox functions for feature extraction and custom similarity scoring algorithms. This solution provides professionals and general users with accurate, high-performance image search capabilities, enabling efficient discovery of required visual resources. The codebase includes modular functions for feature extraction, database management, and similarity ranking.