Binary shape normalization using the Radon transform
Identifieur interne : 008329 ( Main/Merge ); précédent : 008328; suivant : 008330Binary shape normalization using the Radon transform
Auteurs : Salvatore Tabbone [France] ; Laurent Wendling [France]Source :
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Abstract
This paper presents a novel approach to normalize binary shapes which is based on the Radon transform. The key idea of the paper is an original adaptation of the Radon transform. The binary shape is projected in Radon space for different levels of the (3-4) distance transform. This decomposition gives rise to a representation which has a nice behavior with respect to common geometrical transformations. The accuracy and the efficiency of the proposed algorithm in the presence of a variety of transformations is demonstrated within a shape recognition process.
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type="university">Université Nancy 2</orgName><orgName type="institution" wicri:auto="newGroup">Université de Lorraine</orgName><placeName><settlement type="city">Nancy</settlement><region type="region" nuts="2">Grand Est</region><region type="old region" nuts="2">Lorraine (région)</region></placeName><orgName type="university">Institut national polytechnique de Lorraine</orgName><orgName type="institution" wicri:auto="newGroup">Université de Lorraine</orgName></affiliation></author></analytic></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="mix" xml:lang="fr"><term>normalisation de forme</term><term>pattern recognition</term><term>radon transform</term><term>reconnaissance de formes</term><term>shape normalisation</term><term>transformée de radon</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">This paper presents a novel approach to normalize binary shapes which is based on the Radon transform. The key idea of the paper is an original adaptation of the Radon transform. The binary shape is projected in Radon space for different levels of the (3-4) distance transform. This decomposition gives rise to a representation which has a nice behavior with respect to common geometrical transformations. The accuracy and the efficiency of the proposed algorithm in the presence of a variety of transformations is demonstrated within a shape recognition process.</div></front></TEI></record>Pour manipuler ce document sous Unix (Dilib)
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