Content-Based Image Retrieval Technology

Content-Based Image Retrieval (CBIR) is a method used to search for similar images within image databases. This technology utilizes image color features and texture characteristics for matching. Through MATLAB programming implementations, this image retrieval technique can be effectively realized with demonstrated experimental results. The implementation typically involves key algorithms such as color histogram analysis for color feature extraction and Gabor filtering or Local Binary Patterns (LBP) for texture characterization. These feature extraction methods form the core matching criteria in the retrieval system. This technology finds significant applications across various domains including image recognition, content-based image search, and computer vision systems. It can be effectively integrated into image search engines, automated image classification systems, and advanced image recognition platforms, providing users with enhanced image retrieval experiences through efficient feature matching algorithms.