Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/329518
Type: Artigo
Title: Three-dimensional Connectivity Index For Texture Recognition
Author: Florindo
Joao B.; Landini
Gabriel; Bruno
Odemir M.
Abstract: This work proposes a new method of texture analysis for grey-level images based on the distribution of connectivity indexes in local neighbourhoods. The connectivity index acts as a measure of homogeneity of textures and its distribution is computed at various local neighbourhood sizes. The resulting descriptors provide an efficient multiscale representation of connectivity at different scales. The method was tested in the classification of UIUC, Outex, and KTH-TIPS2b databases and outperformed several state-of-the-art approaches, including such as LBP, LBP+VAR, MR8, multifractals among others. (C) 2016 The Authors. Published by Elsevier B.V.
Subject: Local Connectivity
Texture Analysis
Pattern Recognition
Image Classification
Editor: Elsevier Science BV
Amsterdam
Rights: fechado
Identifier DOI: 10.1016/j.patrec.2016.09.013
Address: http://www-sciencedirect-com.ez88.periodicos.capes.gov.br/science/article/pii/S016786551630246X?via%3Dihub
Date Issue: 2016
Appears in Collections:Unicamp - Artigos e Outros Documentos

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