Content Based Image Retrieval Using BPNN and K-Mean Algorithm

This research represents different techniques in content-based image retrieval. It includes the discussion about fundamental aspects of CBIR and features for Image Retrieval like color, texture and shape. We briefly discuss the similarity measures based on which matches are made and images are retrieved. Another important issue in content-based image retrieval is effective indexing and fast searching of images based on visual features. Dimension reduction and indexing schemes are also discussed. For content-based image retrieval, user interaction with the retrieval system is crucial since flexible formation and modification of queries can only be obtained by involving the user in the retrieval procedure. Finally Relevance feedback is discussed which helps in improving the performance of a CBIR system.