| Texto completo | |
| Autor(es): |
Backes, Andre R.
;
Bruno, Odemir M.
;
Foggia, P
;
Sansone, C
;
Vento, M
Número total de Autores: 5
|
| Tipo de documento: | Artigo Científico |
| Fonte: | Lecture Notes in Computer Science; v. 5716, p. 3-pg., 2009-01-01. |
| Resumo | |
Taxonomical classification of plants is a very complex and time-consuming task. This is mostly due to the great biodiversity of species and the fact of most measures extracted from plants are traditionally performed manually. This paper presents a novel approach to plant identification based on leaf texture. Initially, the texture is modelled as a. surface, so complexity analysis using Multi-scale fractal dimension can be performed over the generated surface, resulting in a feature vector which represents texture complexity in terms of the spatial scale. Yielded results show the potential of the approach, which overcomes traditional texture analysis methods, such as Co-occurrence matrices, Gabor filters and Fourier descriptors. (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 |