Plant species identification using multi-scale fractal dimension applied to images of adaxial surface epidermis
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Data
2009-09-28
Autores
Backes, André R.
De M. Sá Junior, Jarbas J.
Kolb, Rosana M.
Bruno, Odemir M. [UNESP]
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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.
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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
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Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 5702 LNCS, p. 680-688.