Content-Based Image Retrieval Source Code

This article introduces a complete MATLAB implementation of content-based image retrieval source code. Image retrieval represents a specialized search engine technology that enables users to find visually similar images by providing query images. This codebase serves as an excellent educational resource for understanding the core mechanisms of image retrieval systems while providing a solid foundation for academic research and practical applications. The implementation incorporates sophisticated computer vision algorithms including color space conversion (RGB to HSV/Lab transformations), advanced feature extraction techniques (color histograms, texture features using GLCM, and shape descriptors), and similarity measurement methods (Euclidean distance, cosine similarity, and histogram intersection). Key MATLAB functions utilized include imread for image loading, rgb2hsv for color processing, and pdist2 for similarity calculations. Researchers and developers interested in image processing and computer vision will find this codebase valuable for exploring fundamental concepts and building more advanced retrieval systems.