Image Similarity Measure Using Max Weighted Bipartite Matching

Recently content-based retrieval of images and video has become a hot research area in the world, however, existing algorithms and systems can't meet users' requirements because of its low efficiency and low precision. The key to effectively improve the CBIR performance lies in the ability to access the image at the level of objects. Although many region-based CBIR algorithms and systems are proposed, multi-region in segmented images is still not taken into consideration, so they are not comprehensive and reasonable. In this paper, we present a framework of region-based image retrieval system using max weighted bipartite matching based on image segmentation. Because of taking spatial information into consideration and combining the information from all image regions, new algorithm can work effectively and efficiently.