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Heterogeneous pattern recognition and its applications in biology and nanotechnology

Grant number: 11/21467-9
Support type:Scholarships in Brazil - Doctorate
Effective date (Start): June 01, 2012
Effective date (End): October 31, 2015
Field of knowledge:Physical Sciences and Mathematics - Computer Science
Principal Investigator:Odemir Martinez Bruno
Grantee:Núbia Rosa da Silva
Home Institution: Instituto de Ciências Matemáticas e de Computação (ICMC). Universidade de São Paulo (USP). São Carlos , SP, Brazil
Associated scholarship(s):14/06208-5 - Image analysis of lignocellulosics, BE.EP.DR

Abstract

This project aims to propose an analysis of heterogeneous patterns, develop methods for this new concept and apply them to real problems of pattern recognition. The concept is inspired by the chemistry with the definitions of mixtures. Some mixtures have homogeneous appearance when viewed with the naked eye, however, to observe them at the nanoscale is possible to understand the heterogeneity of its components, for example colloids such as milk, blood and gelatin. In this work, the same concept is applied in pattern recognition. In certain types of images it is possible to see heterogeneous patterns, that not always, can be viewed on a standard scale. Current methods of texture analysis do not adequately describe such heterogeneous patterns. The approach commonly used by researchers analyzes the image information in a global way, taking all its features in an integrated manner. The multi-scale approach, widespread in the literature, analyzes the patterns at different scales, but still preserving the homogeneous analysis, that is, considering the characteristics in a global manner. Therefore, it is necessary to develop methods to identify the different patterns observed at different scales, where it is perceived heterogeneity, thus defining the concept of heterogeneous pattern related to images.

Scientific publications (9)
(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)
DA SILVA, NUBIA ROSA; DA SILVA OLIVEIRA, MARCOS WILLIAM; DE ALMEIDA FILHO, HUMBERTO ANTUNES; SOUZA PINHEIRO, LUIZ FELIPE; KOLB, ROSANA MARTA; BRUNO, ODEMIR MARTINEZ. Automatic Leaf Epidermis Assessment Using Fourier Descriptors in Texture Images. BIO-PROTOCOL, v. 7, n. 23 DEC 5 2017. Web of Science Citations: 0.
DA SILVA, NUBIA ROSA; DE RIDDER, MAAIKE; BAETENS, JAN M.; VAN DEN BULCKE, JAN; ROUSSEAU, MELISSA; BRUNO, ODEMIR MARTINEZ; BEECKMAN, HANS; VAN ACKER, JORIS; DE BAETS, BERNARD. Automated classification of wood transverse cross-section micro-imagery from 77 commercial Central-African timber species. ANNALS OF FOREST SCIENCE, v. 74, n. 2 JUN 2017. Web of Science Citations: 3.
DA SILVA, NUBIA ROSA; BAETENS, JAN M.; DA SILVA OLIVEIRA, MARCOS WILLIAM; DE BAETS, BERNARD; BRUNO, ODEMIR MARTINEZ. Classification of cellular automata through texture analysis. INFORMATION SCIENCES, v. 370, p. 33-49, NOV 20 2016. Web of Science Citations: 2.
GONCALVES, WESLEY NUNES; DA SILVA, NUBIA ROSA; COSTA, LUCIANO DA FONTOURA; BRUNO, ODEMIR MARTINEZ. Texture recognition based on diffusion in networks. INFORMATION SCIENCES, v. 364, p. 51-71, OCT 10 2016. Web of Science Citations: 6.
DA SILVA, NUBIA ROSA; DA SILVA OLIVEIRA, MARCOS WILLIAM; DE ALMEIDA FILHO, HUMBERTO ANTUNES; SOUZA PINHEIRO, LUIZ FELIPE; ROSSATTO, DAVI RODRIGO; KOLB, ROSANA MARTA; BRUNO, ODEMIR MARTINEZ. Leaf epidermis images for robust identification of plants. SCIENTIFIC REPORTS, v. 6, MAY 24 2016. Web of Science Citations: 3.
DA SILVA OLIVEIRA, MARCOS WILLIAM; DA SILVA, NUBIA ROSA; MANZANERA, ANTOINE; BRUNO, ODERNIR MARTINEZ. Feature extraction on local jet space for texture classification. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, v. 439, p. 160-170, DEC 1 2015. Web of Science Citations: 7.
DA SILVA, NUBIA ROSA; FLORINDO, JOAO BATISTA; GOMEZ, MARIA CECILIA; ROSSATTO, DAVI RODRIGO; KOLB, ROSANA MARTA; BRUNO, ODEMIR MARTINEZ. Plant Identification Based on Leaf Midrib Cross-Section Images Using Fractal Descriptors. PLoS One, v. 10, n. 6 JUN 19 2015. Web of Science Citations: 11.
DA SILVA, NUBIA ROSA; VAN DER WEEEN, PIETER; DE BAETS, BERNARD; BRUNO, ODEMIR MARTINEZ. Improved texture image classification through the use of a corrosion-inspired cellular automaton. Neurocomputing, v. 149, n. C, p. 1560-1572, FEB 3 2015. Web of Science Citations: 5.
FLORINDO, JOAO BATISTA; DA SILVA, NUBIA ROSA; ROMUALDO, LILIANE MARIA; DA SILVA, FERNANDA DE FATIMA; DE CERQUEIRA LUZ, PEDRO HENRIQUE; HERLING, VALDO RODRIGUES; BRUNO, ODEMIR MARTINEZ. Brachiaria species identification using imaging techniques based on fractal descriptors. COMPUTERS AND ELECTRONICS IN AGRICULTURE, v. 103, p. 48-54, APR 2014. Web of Science Citations: 15.
Academic Publications
(References retrieved automatically from State of São Paulo Research Institutions)
SILVA, Núbia Rosa da. Heterogeneous pattern recognition and its applications in biology and nanotechnology. 2015. Doctoral Thesis - Universidade de São Paulo (USP). Instituto de Ciências Matemáticas e de Computação São Carlos.

Please report errors in scientific publications list by writing to: cdi@fapesp.br.