| Full text | |
| Author(s): |
Florindo, Joao B.
;
Landini, Gabriel
;
Bruno, Odemir M.
Total Authors: 3
|
| Document type: | Journal article |
| Source: | PATTERN RECOGNITION LETTERS; v. 84, p. 239-244, DEC 1 2016. |
| Web of Science Citations: | 4 |
| 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. (AU) | |
| FAPESP's process: | 13/22205-3 - Tissue spatial organization and fractal analyses for automated plant taxonomy |
| Grantee: | Joao Batista Florindo |
| Support type: | Scholarships abroad - Research Internship - Post-doctor |
| FAPESP's process: | 11/01523-1 - Computer vision methods applied to the identification and analysis of plants |
| Grantee: | Odemir Martinez Bruno |
| Support type: | Regular Research Grants |
| FAPESP's process: | 12/19143-3 - Fractal Geometry and Image Analysis Applied to Vegetal Biology |
| Grantee: | Joao Batista Florindo |
| Support type: | Scholarships in Brazil - Post-Doctorate |