Artículos de revistas
Three-dimensional Connectivity Index For Texture Recognition
Registro en:
Pattern Recognition Letters. Elsevier Science Bv, v. 84, p. 239 - 244, 2016.
0167-8655
1872-7344
WOS:000390660900034
10.1016/j.patrec.2016.09.013
Autor
Florindo
Joao B.; Landini
Gabriel; Bruno
Odemir M.
Institución
Resumen
Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP) Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP) 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. 84 239 244 FAPESP (The State of Sao Paulo Research Foundation) [2012/19143-3, 2013/22205-3] Engineering and Physical Sciences Research Council (EPSRC), UK through Novel context-based segmentation algorithms for intelligent microscopy [EP/M023869/1] CNPq (National Council for Scientific and Technological Development, Brazil) [307797/2014-7, 484312/2013-8] FAPESP [11/01523-1] Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP) Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)