A graph-based approach for multiscale shape analysis

dc.creatorTorres, RD
dc.creatorFalcao, AX
dc.creatorCosta, LD
dc.date2004
dc.dateJUN
dc.date2014-11-14T17:49:03Z
dc.date2015-11-26T16:07:35Z
dc.date2014-11-14T17:49:03Z
dc.date2015-11-26T16:07:35Z
dc.date.accessioned2018-03-28T22:56:16Z
dc.date.available2018-03-28T22:56:16Z
dc.identifierPattern Recognition. Pergamon-elsevier Science Ltd, v. 37, n. 6, n. 1163, n. 1174, 2004.
dc.identifier0031-3203
dc.identifierWOS:000221553100006
dc.identifier10.1016/j.patcog.2003.10.007
dc.identifierhttp://www.repositorio.unicamp.br/jspui/handle/REPOSIP/75875
dc.identifierhttp://www.repositorio.unicamp.br/handle/REPOSIP/75875
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/75875
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1266169
dc.descriptionThis paper presents two shape descriptors, multiscale fractal dimension and contour saliences, using a graph-based approach-the image foresting transform. It introduces a robust approach to locate contour saliences from the relation between contour and skeleton. The contour salience descriptor consists of a vector, with salience location and value along the contour, and a matching algorithm. We compare both descriptors with fractal dimension, Fourier descriptors, moment invariants, Curvature Scale Space and Beam Angle Statistics regarding to their invariance to object characteristics that belong to a same class (compact-ability) and to their ability to separate objects of distinct classes (separability). (C) 2003 Published by Elsevier Ltd on behalf of Pattern Recognition Society.
dc.description37
dc.description6
dc.description1163
dc.description1174
dc.languageen
dc.publisherPergamon-elsevier Science Ltd
dc.publisherOxford
dc.publisherInglaterra
dc.relationPattern Recognition
dc.relationPattern Recognit.
dc.rightsfechado
dc.rightshttp://www.elsevier.com/about/open-access/open-access-policies/article-posting-policy
dc.sourceWeb of Science
dc.subjectshape analysis
dc.subjectimage processing
dc.subjectfractal dimension
dc.subjectshape saliences
dc.subjectimage foresting transform
dc.subjectmultiscale skeletonization
dc.subjectshape exact dilation
dc.subjectImage Foresting Transform
dc.subjectMoment Invariants
dc.subjectRecognition
dc.subjectRetrieval
dc.subjectNeuromorphometry
dc.subjectDescriptors
dc.titleA graph-based approach for multiscale shape analysis
dc.typeArtículos de revistas


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