Identifying plant species using architectural features of leaf microscopy images

Joao Batista Florindo, Odemir Martinez Bruno, D R Rossatto, R M Kolb, M C Gomez, Gabriel Landini

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)
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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.
Original languageEnglish
Early online date21 Oct 2015
Publication statusE-pub ahead of print - 21 Oct 2015


  • automatic species identification
  • image analysis
  • morphological features


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