Color Feature-Based Image Retrieval System

This document introduces a color feature-based image retrieval system implemented using MATLAB. The system primarily functions by analyzing color characteristics of images to enable efficient image retrieval. Users can conveniently search for images based on color attributes and locate desired images through the system's robust processing capabilities. The implementation employs color histogram analysis and color moment extraction algorithms to quantify image color distributions. Key MATLAB functions include imhist for histogram calculation, color segmentation techniques using k-means clustering, and similarity measurement through distance metrics like Euclidean or cosine distance. The system demonstrates high efficiency and accuracy, enabling rapid target image identification within large image databases. Additionally, the system incorporates a user-friendly GUI interface developed with MATLAB's App Designer, featuring intuitive controls for image uploading, parameter adjustment, and result visualization. The interface components include file selection dialogs, real-time histogram displays, and ranked retrieval results presentation. In summary, this color feature-based image retrieval system represents a powerful and user-friendly tool that significantly simplifies image search and retrieval operations for end-users, combining advanced color processing algorithms with practical implementation considerations.