| Texto completo | |
| Autor(es): |
Backes, Andre R.
;
Sa Junior, Jarbas J. de M.
;
Kolb, Rosana M.
;
Bruno, Odemir M.
;
Jiang, X
;
Petkov, N
Número total de Autores: 6
|
| Tipo de documento: | Artigo Científico |
| Fonte: | Lecture Notes in Computer Science; v. 5702, p. 3-pg., 2009-01-01. |
| Resumo | |
This paper presents the study of computational methods applied to histological texture analysis in order to identify plant species, a very difficult task due to the great similarity among sortie species and presence of irregularities in a given species. Experiments were performed considering 300 x 300 texture windows extracted from adaxial surface epidermis from eight species. Different texture methods were evaluated rising Linear Discriminant Analysis (LDA). Results showed that methods based on complexity analysis perform a better texture discrimination; so conducting to a, more accurate identification of plant species. (AU) | |
| Processo FAPESP: | 06/54367-9 - Estudos de metodos de analise de complexidade em imagens. |
| Beneficiário: | André Ricardo Backes |
| Modalidade de apoio: | Bolsas no Brasil - Doutorado |