Comparative study of spine vertebra shape retrieval using learning-based feature selection


Feature extraction and selection are two important steps for shape retrieval. Given a data set, a set of features which describe the shape property from different aspects are extracted. Our goal is a learning-based methodology to select the features for improving retrieval performance. Our approach uses both global and local feature descriptors. The global… (More)
DOI: 10.1109/CBMS.2009.5255384


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