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Notice of Violation of IEEE Publication PrinciplesBag-of-Features Based Medical Image Retrieval via Multiple Assignment and Visual Words Weighting
2011
IEEE Transactions on Medical Imaging
In this paper, we investigate the bag-of-feature based medical image retrieval methods, which represent an image as a collection of local features, such as image patch and key points with SIFT descriptor. To improve bag-of-feature method, we first model the assignment of local descriptor as contribution functions, and then propose a new multiple assignment strategy. Assuming the local feature can be reconstructed by its neighboring visual words in vocabulary, we solve the reconstruction weights
doi:10.1109/tmi.2011.2161673
pmid:21859616
fatcat:iyz5j26sdrdbxc4mvpe6b4ekn4