Please use this identifier to cite or link to this item:
Type: Artigo de periódico
Title: A graph-based approach for multiscale shape analysis
Author: Torres, RD
Falcao, AX
Costa, LD
Abstract: This 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.
Subject: shape analysis
image processing
fractal dimension
shape saliences
image foresting transform
multiscale skeletonization
shape exact dilation
Country: Inglaterra
Editor: Pergamon-elsevier Science Ltd
Citation: Pattern Recognition. Pergamon-elsevier Science Ltd, v. 37, n. 6, n. 1163, n. 1174, 2004.
Rights: fechado
Identifier DOI: 10.1016/j.patcog.2003.10.007
Date Issue: 2004
Appears in Collections:Unicamp - Artigos e Outros Documentos

Files in This Item:
File Description SizeFormat 
WOS000221553100006.pdf496.28 kBAdobe PDFView/Open

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.