MATLAB Program for Relevance Feedback in Image Retrieval with Code Implementation

This resource provides a MATLAB program as a reference implementation for relevance feedback in image retrieval systems. The program is designed to work with MATLAB 7.0 and demonstrates practical implementation of relevance feedback mechanisms. The code includes algorithms for feature extraction, similarity measurement, and feedback integration, helping users understand how relevance feedback operates within image retrieval frameworks. Key components of the program include: - Feature vector computation using color histogram and texture analysis - Similarity calculation algorithms (Euclidean distance and cosine similarity) - Relevance feedback loop implementation with weighting mechanisms - User interaction modules for positive/negative example selection Through this program, researchers can gain deeper insights into relevance feedback applications in image retrieval and learn practical MATLAB implementation techniques. The code serves as an excellent starting point for further exploration and research in image retrieval methodologies, providing a foundation for developing more sophisticated retrieval systems and experimenting with different feedback strategies.