Texture-Based Image Retrieval Source Code

This project provides MATLAB-based source code for texture-based image retrieval, developed to support academic learning and research. The system implements image retrieval functionality by analyzing texture features of images, making it suitable for research in image processing and computer vision domains. The codebase includes implementations of texture feature extraction algorithms (such as Gabor filters or Local Binary Patterns) and matching techniques that enable comparative analysis between query images and database images. Researchers can utilize this source code to gain in-depth understanding of texture feature extraction methodologies, similarity measurement algorithms, and perform experimental investigations. The MATLAB environment offers a flexible platform for easy code modification, functionality extension, and optimization of retrieval performance. Key functions likely include texture descriptor computation, feature vector comparison, and retrieval accuracy evaluation modules. This project serves as a practical foundation for exploring and advancing texture-based image retrieval techniques.