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
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.
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 va
Subject: Local Connectivity
Texture Analysis
Pattern Recognition
Image Classification
Reconhecimento de padrões
Classificação de imagem
Análise de textura em imagens
Visão por computador
Country: Países Baixos
Editor: Elsevier
Citation: Pattern Recognition Letters. Elsevier Science Bv, v. 84, p. 239 - 244, 2016.
Rights: fechado
fechado
Identifier DOI: 10.1016/j.patrec.2016.09.013
Address: https://www.sciencedirect.com/science/article/pii/S016786551630246X
Date Issue: 2016
Appears in Collections:IMECC - Artigos e Outros Documentos

Files in This Item:
File SizeFormat 
000390660900034.pdf3.37 MBAdobe PDFView/Open


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