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Indexed by:期刊论文

Date of Publication:2013-01-01

Journal:Journal of Information and Computational Science

Included Journals:EI、Scopus

Volume:10

Issue:13

Page Number:3981-3989

ISSN No.:15487741

Abstract:The local shape comparison is always necessary for many applications including visualization, shape matching, shape retrieval and so forth. In this paper a distance-based shape descriptor is proposed and used for local shape comparison. After regions to be compared are specified, the sampling points are extracted following the same rules from each region. Then, signed Euclidean distances from each sampling point of a region to an adjacent one are calculated and used to build the shape descriptor of that region. After that, the similarity of the given regions is evaluated by comparing their shape descriptors. The feasibility of the proposed method is proved by some experimental results. ? 2013 Binary Information Press.