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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Plant Identification Based on Leaf Midrib Cross-Section Images Using Fractal Descriptors

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da Silva, Nubia Rosa [1, 2] ; Florindo, Joao Batista [1] ; Gomez, Maria Cecilia [1, 3] ; Rossatto, Davi Rodrigo [4] ; Kolb, Rosana Marta [5] ; Bruno, Odemir Martinez [1, 2]
Total Authors: 6
[1] Univ Sao Paulo, Sao Carlos Inst Phys, BR-13560970 Sao Carlos, SP - Brazil
[2] Univ Sao Paulo, Inst Math & Comp Sci, BR-13560970 Sao Carlos, SP - Brazil
[3] Natl Univ Littoral, Fac Biochem & Biol Sci, Dept Phys, Santa Fe - Argentina
[4] Univ Estadual Paulista, UNESP, Fac Agr & Vet Sci, Dept Appl Biol, Jaboticabal, SP - Brazil
[5] Univ Estadual Paulista, UNESP, Fac Sci & Letters, Dept Biol Sci, Assis, SP - Brazil
Total Affiliations: 5
Document type: Journal article
Source: PLoS One; v. 10, n. 6 JUN 19 2015.
Web of Science Citations: 11

The correct identification of plants is a common necessity not only to researchers but also to the lay public. Recently, computational methods have been employed to facilitate this task, however, there are few studies front of the wide diversity of plants occurring in the world. This study proposes to analyse images obtained from cross-sections of leaf midrib using fractal descriptors. These descriptors are obtained from the fractal dimension of the object computed at a range of scales. In this way, they provide rich information regarding the spatial distribution of the analysed structure and, as a consequence, they measure the multiscale morphology of the object of interest. In Biology, such morphology is of great importance because it is related to evolutionary aspects and is successfully employed to characterize and discriminate among different biological structures. Here, the fractal descriptors are used to identify the species of plants based on the image of their leaves. A large number of samples are examined, being 606 leaf samples of 50 species from Brazilian flora. The results are compared to other imaging methods in the literature and demonstrate that fractal descriptors are precise and reliable in the taxonomic process of plant species identification. (AU)

FAPESP's process: 11/01523-1 - Computer vision methods applied to the identification and analysis of plants
Grantee:Odemir Martinez Bruno
Support type: Regular Research Grants
FAPESP's process: 12/19143-3 - Fractal Geometry and Image Analysis Applied to Vegetal Biology
Grantee:Joao Batista Florindo
Support type: Scholarships in Brazil - Post-Doctorate
FAPESP's process: 11/23112-3 - Leaf anatomy of plants from different vegetation formations
Grantee:Rosana Marta Kolb
Support type: Regular Research Grants
FAPESP's process: 11/21467-9 - Heterogeneous Pattern Recognition and its Applications in Biology and Nanotechnology.
Grantee:Núbia Rosa da Silva
Support type: Scholarships in Brazil - Doctorate