| Full text | |
| Author(s): |
Backes, Andre R.
;
Bruno, Odemir M.
;
Foggia, P
;
Sansone, C
;
Vento, M
Total Authors: 5
|
| Document type: | Journal article |
| Source: | Lecture Notes in Computer Science; v. 5716, p. 3-pg., 2009-01-01. |
| Abstract | |
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) | |