| Author(s): |
Esmi, E.
;
Florindo, J. B.
;
Perez, F.
;
Barbeitos, M.
;
Liu, J
;
Lu, J
;
Xu, Y
;
Martinez, L
;
Kerre, EE
Total Authors: 9
|
| Document type: | Journal article |
| Source: | DATA SCIENCE AND KNOWLEDGE ENGINEERING FOR SENSING DECISION SUPPORT; v. 11, p. 8-pg., 2018-01-01. |
| Abstract | |
This article presents an approach to classify images of corals obtained on the coast of Brazil into three distinct species, namely Siderastrea siderea, Siderastrea stellata, and Siderastrea radians. To this end we first employ the well-known Completed Local Binary Patterns method to extract a vector of image descriptors from each image. Subsequently, we use a fuzzy associative memory based on equivalent measures to associate each feature vector to one of the species. (AU) | |
| FAPESP's process: | 16/26040-7 - Differential and integral calculus based on arithmetic of interactive fuzzy numbers |
| Grantee: | Estevão Esmi Laureano |
| Support Opportunities: | Regular Research Grants |
| FAPESP's process: | 16/16060-0 - Pattern Recognition on Images Based on Complex Systems |
| Grantee: | Joao Batista Florindo |
| Support Opportunities: | Regular Research Grants |