| Full text | |
| Author(s): |
Backes, Andre R.
;
Sa Junior, Jarbas J. de M.
;
Kolb, Rosana M.
;
Bruno, Odemir M.
;
Jiang, X
;
Petkov, N
Total Authors: 6
|
| Document type: | Journal article |
| Source: | Lecture Notes in Computer Science; v. 5702, p. 3-pg., 2009-01-01. |
| Abstract | |
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) | |