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Indexed by:期刊论文

Date of Publication:2013-10-01

Journal:JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION

Included Journals:SCIE

Volume:24

Issue:7

Page Number:1009-1019

ISSN No.:1047-3203

Key Words:Shape matching; Uniform fuzzy partition; Fuzzy histogram; Classical-histogram-based descriptor; Fuzzy-histogram-based descriptor; Fuzzy shape context; Inner-distance fuzzy shape context; Locally constrained matching

Abstract:Shape representation and shape matching are significant topics in computer and human vision. In this paper, fuzzy histogram model with a uniform fuzzy partition is introduced instead of the classical histogram model, and two fuzzy-histogram-based descriptors are proposed: fuzzy shape context (FSC) and inner-distance fuzzy shape context (IDFSC). Compared with classical-histogram-based descriptors, FSC and IDFSC provide more accurate descriptions of samples distributions in log-polar space. Based on fuzzy-histogram-based descriptors, a novel shape matching framework named locally constrained matching (LCM) is proposed for computing the dissimilarity between shapes, and the rotation invariant problem of descriptors can be properly settled. Experimental results on a variety of shape databases show that shape retrieval and recognition results can be effectively achieved by using the proposed method. (C) 2013 Elsevier Inc. All rights reserved.