Texture fractal descriptors applied in the leaf identification and anatomical plasticity

• Grant number: 13/14984-2
• Support type: Scholarships in Brazil - Post-Doctorate
• Effective date (Start): October 01, 2013
• Effective date (End): February 28, 2015
• Field of knowledge: Physical Sciences and Mathematics - Computer Science - Computing Methodologies and Techniques
• Principal researcher: Odemir Martinez Bruno
• Grantee: Dalcimar Casanova
• Home Institution: Instituto de Física de São Carlos (IFSC). Universidade de São Paulo (USP). São Carlos , SP, Brazil

Abstract

Fractal geometry may be used to represent geometric structures of great complexity, including phenomena in nature where the traditional geometries can not be used. The leaves and their structures, although are not perfect fractals, are one of these phenomena that can be described and characterized using fractal geometry. In this direction studies using fractals in plant identification by texture analysis has been carried out in recent years by the GCC group (Scientific Computing Group) of the IFSC-USP. These studies has been gaining attention in recent years with regard to its quality as a method of texture analysis. There is still, however, many ways to improve this computational method, being this one of main objectives of this project. In a complementary way it is intended to investigate the robustness of the descriptors with respect of fractal analysis species with leaf anatomical plasticity. The phenotypic plasticity in plants is defined as the change in the expression of the genotype by environmental influences, may present in both morphologically and physiologically. Such investigation have an particularly importantance since the automated systems of leaf identification must be able to deal with such morphological changes. Recent research results are presented in this project demonstrating the viability of these objectives.

Scientific publications

(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)

OLIVEIRA, MARCOS WILLIAM DA S.; CASANOVA, DALCIMAR; FLORINDO, JOAO B.; BRUNO, ODEMIR M. Enhancing fractal descriptors on images by combining boundary and interior of Minkowski dilation. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, v. 416, p. 41-48, DEC 15 2014. Web of Science Citations: 1.

AMANCIO, DIEGO RAPHAEL; COMIN, CESAR HENRIQUE; CASANOVA, DALCIMAR; TRAVIESO, GONZALO; BRUNO, ODEMIR MARTINEZ; RODRIGUES, FRANCISCO APARECIDO; COSTA, LUCIANO DA FONTOURA. A Systematic Comparison of Supervised Classifiers. PLoS One, v. 9, n. 4 APR 24 2014. Web of Science Citations: 67.