Plant species identification using multi-scale fractal dimension applied to images of adaxial surface epidermis
Contribuinte(s) |
Universidade Estadual Paulista (UNESP) |
---|---|
Data(s) |
27/05/2014
27/05/2014
28/09/2009
|
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 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. |
Formato |
680-688 |
Identificador |
http://dx.doi.org/10.1007/978-3-642-03767-2_83 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 5702 LNCS, p. 680-688. 0302-9743 1611-3349 http://hdl.handle.net/11449/71162 10.1007/978-3-642-03767-2_83 2-s2.0-70349309744 |
Idioma(s) |
eng |
Relação |
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
Direitos |
closedAccess |
Palavras-Chave | #Complexity #Multi-scale fractal dimension #Plant identification #Texture analysis #Complexity analysis #Linear discriminant analysis #Multiscales #Plant species #Plant species identification #Texture discrimination #Texture window #Computational methods #Discriminant analysis #Image analysis #Partial discharges #Textures #Fractal dimension |
Tipo |
info:eu-repo/semantics/conferencePaper |