Identifying plant species using architectural features in leaf microscopy images
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Data
2016-01-01
Autores
Florindo, Joao Batista
Bruno, Odemir Martinez
Rossatto, Davi Rodrigo [UNESP]
Kolb, Rosana Marta [UNESP]
Gómez, Maria Cecilia
Landini, Gabriel
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Resumo
This work proposes an analytical method to identify plant species based on microscopy images of the midrib cross-section of leaves. Unlike previous shape-based approaches based on the individual shape of external contours and cells, an architectural analysis is proposed, where the midrib is semi-automatically segmented and partitioned into histologically relevant structures composed of layers of cells and vascular structures. Using a sequence of morphological operations, a set of geometrical measures from the cells in each layer is extracted to produce a vector of features for species categorization. The method applied to a database containing 10 species of plants from the Brazilian flora achieved a success rate of 91.7%, outperforming other classical shape-based approaches published in the literature.
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Palavras-chave
Automatic species identification, Image analysis, Morphological features
Como citar
Botany, v. 94, n. 1, p. 15-21, 2016.