MATLAB GUI-Based Image Retrieval System with Integrated Color, Texture, and Shape Features

This MATLAB GUI-based image retrieval system utilizing integrated color, texture, and shape features enables efficient image search and retrieval capabilities. The system implements multiple image feature extraction algorithms, including color histograms for color distribution analysis, Local Binary Patterns (LBP) or Gabor filters for texture characterization, and moment invariants or shape descriptors for geometric feature extraction. Through comprehensive feature fusion and similarity matching algorithms, the system performs accurate image similarity comparisons and retrieval operations. The MATLAB graphical user interface (GUI) provides an intuitive platform for users to easily upload query images, configure retrieval parameters, and visualize results. Key implemented functions include feature vector computation, distance metric calculation (such as Euclidean or Cosine distance), and ranked result display. The system's architecture supports batch processing and efficient database management through optimized MATLAB matrix operations. Whether you're a professional image processing engineer or general user, this system streamlines image retrieval tasks through its user-friendly interface and robust algorithmic foundation. The implementation leverages MATLAB's Image Processing Toolbox for feature extraction and GUI development tools for interface design. Experience enhanced productivity in image management by utilizing this comprehensive MATLAB-based retrieval system that combines multiple visual features for accurate and efficient image search operations.