dc.contributor | Universidade de São Paulo (USP) | |
dc.contributor | Universidade Estadual Paulista (Unesp) | |
dc.date.accessioned | 2014-05-27T11:23:59Z | |
dc.date.available | 2014-05-27T11:23:59Z | |
dc.date.created | 2014-05-27T11:23:59Z | |
dc.date.issued | 2009-09-28 | |
dc.identifier | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 5702 LNCS, p. 680-688. | |
dc.identifier | 0302-9743 | |
dc.identifier | 1611-3349 | |
dc.identifier | http://hdl.handle.net/11449/71162 | |
dc.identifier | 10.1007/978-3-642-03767-2_83 | |
dc.identifier | 2-s2.0-70349309744 | |
dc.identifier | 0000-0003-3841-5597 | |
dc.description.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 some species and presence of irregularities in a given species. Experiments were performed considering 300 ×300 texture windows extracted from adaxial surface epidermis from eight species. Different texture methods were evaluated using 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. © 2009 Springer Berlin Heidelberg. | |
dc.language | eng | |
dc.relation | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | |
dc.relation | 0,295 | |
dc.rights | Acesso aberto | |
dc.source | Scopus | |
dc.subject | Complexity | |
dc.subject | Multi-scale fractal dimension | |
dc.subject | Plant identification | |
dc.subject | Texture analysis | |
dc.subject | Complexity analysis | |
dc.subject | Linear discriminant analysis | |
dc.subject | Multiscales | |
dc.subject | Plant species | |
dc.subject | Plant species identification | |
dc.subject | Texture discrimination | |
dc.subject | Texture window | |
dc.subject | Computational methods | |
dc.subject | Discriminant analysis | |
dc.subject | Image analysis | |
dc.subject | Partial discharges | |
dc.subject | Textures | |
dc.subject | Fractal dimension | |
dc.title | Plant species identification using multi-scale fractal dimension applied to images of adaxial surface epidermis | |
dc.type | Actas de congresos | |