MATLAB Source Code for Texture-Based Image Retrieval System

This MATLAB program provides source code for texture-based image retrieval. Texture features represent one of the fundamental characteristics of images, making texture-based retrieval a significant focus in image processing research. Texture feature extraction can be achieved through various methods, with common approaches including Gray-Level Co-occurrence Matrix (GLCM) and wavelet transform techniques. In this implementation, we employ GLCM for texture feature extraction. The algorithm specifically calculates gray-level relationships between each pixel and its neighboring pixels, then statistically organizes these relationships into a co-occurrence matrix. Through analysis of statistical features derived from the co-occurrence matrix (such as contrast, correlation, energy, and homogeneity), we obtain comprehensive texture descriptors for images. Beyond texture feature extraction, the program implements complete image database management and retrieval functionality. Users can import their custom image libraries into the system, where the program automatically indexes texture features. When querying with a target image, the system performs similarity matching using distance metrics (likely Euclidean or Mahalanobis distance) between feature vectors to retrieve visually similar images from the database. This system finds broad applications in image retrieval, image classification, and pattern recognition domains. The code structure includes modular components for feature extraction, database indexing, and similarity comparison, ensuring extensibility for additional feature descriptors. We hope this implementation proves valuable for your image processing projects!