A new shape descriptor defined on the Radon transform
Identifieur interne : 005626 ( Main/Curation ); précédent : 005625; suivant : 005627A new shape descriptor defined on the Radon transform
Auteurs : S. Tabbone [France] ; L. Wendling [France] ; J.-P. Salmon [France]Source :
- Computer vision and image understanding : (Print) [ 1077-3142 ] ; 2006.
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- Pascal (Inist)
English descriptors
- KwdEn :
- mix :
Abstract
This paper presents a novel approach to identify complex shapes based on the Radon transform. We propose an adaptation of Radon transform called R-transform, which is invariant to common geometrical transformations. Moreover, to improve the uniqueness of the approach, a binary shape is projected into the Radon space for different levels of the Chamfer distance transform. The accuracy and the efficiency of the proposed algorithm in the presence of a variety of transformations are evaluated within a shape recognition process.
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<front><div type="abstract" xml:lang="en">This paper presents a novel approach to identify complex shapes based on the Radon transform. We propose an adaptation of Radon transform called $\mathcal R$-transform which is invariant to common geometrical transformations. Moreover, to improve the uniqueness of the approach, a binary shape is projected into the Radon space for different levels of the Chamfer distance transform. The accuracy and the efficiency of the proposed algorithm in the presence of a variety of transformations are evaluated within a shape recognition process.</div>
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<wicri:noRegion>BP 239</wicri:noRegion>
<wicri:noRegion>54 506 Vandœuvre-les-Nancy</wicri:noRegion>
</affiliation>
</author>
<author><name sortKey="Wendling, L" sort="Wendling, L" uniqKey="Wendling L" first="L." last="Wendling">L. Wendling</name>
<affiliation wicri:level="1"><inist:fA14 i1="01"><s1>LORIA, Campus Scientifique, BP 239</s1>
<s2>54 506 Vandœuvre-les-Nancy</s2>
<s3>FRA</s3>
<sZ>1 aut.</sZ>
<sZ>2 aut.</sZ>
<sZ>3 aut.</sZ>
</inist:fA14>
<country>France</country>
<wicri:noRegion>54 506 Vandœuvre-les-Nancy</wicri:noRegion>
<wicri:noRegion>BP 239</wicri:noRegion>
<wicri:noRegion>54 506 Vandœuvre-les-Nancy</wicri:noRegion>
</affiliation>
</author>
<author><name sortKey="Salmon, J P" sort="Salmon, J P" uniqKey="Salmon J" first="J.-P." last="Salmon">J.-P. Salmon</name>
<affiliation wicri:level="1"><inist:fA14 i1="01"><s1>LORIA, Campus Scientifique, BP 239</s1>
<s2>54 506 Vandœuvre-les-Nancy</s2>
<s3>FRA</s3>
<sZ>1 aut.</sZ>
<sZ>2 aut.</sZ>
<sZ>3 aut.</sZ>
</inist:fA14>
<country>France</country>
<wicri:noRegion>54 506 Vandœuvre-les-Nancy</wicri:noRegion>
<wicri:noRegion>BP 239</wicri:noRegion>
<wicri:noRegion>54 506 Vandœuvre-les-Nancy</wicri:noRegion>
</affiliation>
</author>
</analytic>
<series><title level="j" type="main">Computer vision and image understanding : (Print)</title>
<title level="j" type="abbreviated">Comput. vis. image underst. : (Print)</title>
<idno type="ISSN">1077-3142</idno>
<imprint><date when="2006">2006</date>
</imprint>
</series>
</biblStruct>
</sourceDesc>
<seriesStmt><title level="j" type="main">Computer vision and image understanding : (Print)</title>
<title level="j" type="abbreviated">Comput. vis. image underst. : (Print)</title>
<idno type="ISSN">1077-3142</idno>
</seriesStmt>
</fileDesc>
<profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Complex shape</term>
<term>Computer vision</term>
<term>Content-based retrieval</term>
<term>Discrete geometry</term>
<term>Geometric transformation</term>
<term>Geometrical shape</term>
<term>Image retrieval</term>
<term>Invariant</term>
<term>Pattern recognition</term>
<term>Radon transformation</term>
<term>Taper</term>
</keywords>
<keywords scheme="Pascal" xml:lang="fr"><term>Vision ordinateur</term>
<term>Recherche image</term>
<term>Reconnaissance forme</term>
<term>Forme géométrique</term>
<term>Recherche par contenu</term>
<term>Forme complexe</term>
<term>Chanfrein</term>
<term>Géométrie discrète</term>
<term>Transformation Radon</term>
<term>Invariant</term>
<term>Transformation géométrique</term>
</keywords>
</textClass>
</profileDesc>
</teiHeader>
<front><div type="abstract" xml:lang="en">This paper presents a novel approach to identify complex shapes based on the Radon transform. We propose an adaptation of Radon transform called R-transform, which is invariant to common geometrical transformations. Moreover, to improve the uniqueness of the approach, a binary shape is projected into the Radon space for different levels of the Chamfer distance transform. The accuracy and the efficiency of the proposed algorithm in the presence of a variety of transformations are evaluated within a shape recognition process.</div>
</front>
</TEI>
</INIST>
</double>
</record>
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