dc.creator | Florindo | |
dc.creator | Joao B.; Landini | |
dc.creator | Gabriel; Bruno | |
dc.creator | Odemir M. | |
dc.date | 2016 | |
dc.date | dez | |
dc.date | 2017-11-13T13:54:51Z | |
dc.date | 2017-11-13T13:54:51Z | |
dc.date.accessioned | 2018-03-29T06:08:20Z | |
dc.date.available | 2018-03-29T06:08:20Z | |
dc.identifier | Pattern Recognition Letters. Elsevier Science Bv, v. 84, p. 239 - 244, 2016. | |
dc.identifier | 0167-8655 | |
dc.identifier | 1872-7344 | |
dc.identifier | WOS:000390660900034 | |
dc.identifier | 10.1016/j.patrec.2016.09.013 | |
dc.identifier | http://www-sciencedirect-com.ez88.periodicos.capes.gov.br/science/article/pii/S016786551630246X?via%3Dihub | |
dc.identifier | http://repositorio.unicamp.br/jspui/handle/REPOSIP/329518 | |
dc.identifier.uri | http://repositorioslatinoamericanos.uchile.cl/handle/2250/1366543 | |
dc.description | Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP) | |
dc.description | Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) | |
dc.description | Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP) | |
dc.description | 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. | |
dc.description | 84 | |
dc.description | 239 | |
dc.description | 244 | |
dc.description | FAPESP (The State of Sao Paulo Research Foundation) [2012/19143-3, 2013/22205-3] | |
dc.description | Engineering and Physical Sciences Research Council (EPSRC), UK through Novel context-based segmentation algorithms for intelligent microscopy [EP/M023869/1] | |
dc.description | CNPq (National Council for Scientific and Technological Development, Brazil) [307797/2014-7, 484312/2013-8] | |
dc.description | FAPESP [11/01523-1] | |
dc.description | Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP) | |
dc.description | Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) | |
dc.description | Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP) | |
dc.language | English | |
dc.publisher | Elsevier Science BV | |
dc.publisher | Amsterdam | |
dc.relation | Pattern Recognition Letters | |
dc.rights | fechado | |
dc.source | WOS | |
dc.subject | Local Connectivity | |
dc.subject | Texture Analysis | |
dc.subject | Pattern Recognition | |
dc.subject | Image Classification | |
dc.title | Three-dimensional Connectivity Index For Texture Recognition | |
dc.type | Artículos de revistas | |