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Watershed-driven region-based image retrieval Host Publication: Mathematical morphology 40 years on Authors: I. Pratikakis, I. Vanhamel, H. Sahli, B. Gatos and S. Perantonis Publisher: Springer Publication Year: 2005 Number of Pages: 10 ISBN: 978-1-4020-3442-8
Abstract: This paper presents a strategy for content-based image retrieval. It is based on a meaningful segmentation procedure that can provide proper distributions for matching via the Earth mover's distance as a similarity metric. The segmentation procedure is based on a hierarchical watershed-driven algorithm that extracts automatically meaningful regions. In this framework, the proposed robust feature extraction plays a major role along with a novel region weighting for enhancing feature discrimination. Experimental results demonstrate the performance of the proposed strategy. External Link.
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