Automatic Leaf Epidermis Assessment Using Fourier Descriptors in Texture Images

Author(s)

da Silva, Nubia Rosa ^{[1, 2]} ; da Silva Oliveira, Marcos William ^{[1, 3]} ; de Almeida Filho, Humberto Antunes ^[3] ; Souza Pinheiro, Luiz Felipe ^{[4, 5]} ; Kolb, Rosana Marta ^{[4, 5]} ; Bruno, Odemir Martinez ^{[1, 3]}

Affiliation

^[1] Univ Sao Paulo, Inst Math & Comp Sci, Av Trabalhador Sao Carlense 400, BR-13566590 Sao Carlos, SP - Brazil

^[2] Univ Fed Goias, UFG, Inst Biotechnol, Av Dr Lamartine Pinto de Avelar 1200, BR-75704020 Catalao, Go - Brazil

^[3] Univ Sao Paulo, Sao Carlos Inst Phys, Av Trabalhador Sao Carlense 400, BR-13560970 Sao Carlos, SP - Brazil

^[4] Sao Paulo State Univ, UNESP, Sch Sci Humanities & Languages, Dept Biol Sci, Av Dom Antonio 2100, BR-19806900 Assis, SP - Brazil

^[5] Sao Paulo State Univ, UNESP, Biosci Inst, Av 24A, 1515, BR-13506900 Rio Claro, SP - Brazil

• Document type: Journal article
• Source: BIO-PROTOCOL; v. 7, n. 23 DEC 5 2017.
• Web of Science Citations: 0

Abstract

The identification of plant species is not a trivial task, since it is carried out by experts and depends on the presence of fruits, flowers and leaves. However, fruits and flowers are not available throughout the year, while leaves are accessible most of the year. In order to assist the specialized work of species identification, methods of texture image analysis are used to extract characteristics from samples of imaged leaves and thus predict the species. Texture image analysis is a versatile and powerful technique able to extract measurements from patterns in the images. Using this technique, recent research has found a close relationship between texture and plant species (da Silva et al., 2015 and 2016). Here, we describe the procedure to extract texture features from microscopic images of leaves using Fourier (Cosgriff, 1960; Azencott, 1997; Gonzalez and Woods, 2006). It is important to highlight that other methods for texture extraction can be used as well. This protocol is split into two parts: (A) leaf epidermal dissociation and (B) automatic method for leaf epidermal image analysis. (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: 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