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Doctoral Thesis
DOI
https://doi.org/10.11606/T.76.2013.tde-06092013-160138
Document
Author
Full name
Dalcimar Casanova
E-mail
Institute/School/College
Knowledge Area
Date of Defense
Published
São Carlos, 2013
Supervisor
Committee
Bruno, Odemir Martinez (President)
Andricopulo, Adriano Defini
Groppo Junior, Milton
Liang, Zhao
Neves, Luiz Antônio Pereira
Title in Portuguese
Redes complexas em visão computacional com aplicações em bioinformática
Keywords in Portuguese
Grafos
Identificação vegetal
Reconhecimento de padrões
Redes complexas
Abstract in Portuguese
Redes complexas é uma área de estudo relativamente recente, que tem chamado a atenção da comunidade científica e vem sendo aplicada com êxito em diferentes áreas de atuação tais como redes de computadores, sociologia, medicina, física, matemática entre outras. Entretanto a literatura demonstra que poucos são os trabalhos que empregam redes complexas na extração de características de imagens para posterior analise ou classificação. Dada uma imagem é possível modela-la como uma rede, extrair características topológicas e, utilizando-se dessas medidas, construir o classificador desejado. Esse trabalho objetiva, portanto, investigar mais a fundo esse tipo de aplicação, analisando novas formas de modelar uma imagem como uma rede complexa e investigar diferentes características topológicas na caracterização de imagens. Como forma de analisar o potencial das técnicas desenvolvidas, selecionamos um grande desafio na área de visão computacional: identificação vegetal por meio de análise foliar. A identificação vegetal é uma importante tarefa em vários campos de pesquisa como biodiversidade, ecologia, botânica, farmacologia entre outros.
Title in English
Complex networks in computer vision, with applications in bioinformatics
Keywords in English
Complex network
Graphs
Pattern recognition
Plant identification
Abstract in English
Complex networks is a relatively recent field of study, that has called the attention of the scientific community and has been successfully applied in different areas such as computer networking, sociology, medicine, physics, mathematics and others. However the literature shows that there are few works that employ complex networks in feature extraction of images for later analysis or classification. Given an image, it can be modeled as a network, extract topological features and, using these measures, build the classifier desired. This work aims, therefore, investigate this type of application, analyzing new forms of modeling an image as a complex network and investigate some topological features to characterize images. In order to analyze the potential of the techniques developed, we selected a major challenge in the field of computer vision: plant identification by leaf analysis. The plant identification is an important task in many research fields such as biodiversity, ecology, botany, pharmacology and others.
 
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Publishing Date
2013-09-11
 
WARNING: The material described below relates to works resulting from this thesis or dissertation. The contents of these works are the author's responsibility.
  • BACKES, A, CASANOVA, D, and BRUNO, O. A complex network-based approach for boundary shape analysis [doi:10.1016/j.patcog.2008.07.006]. Pattern Recognition [online], 2009, vol. 42, p. 54-67.
  • BACKES, A. R., CASANOVA, Dalcimar, and BRUNO, O. M. Texture analysis and classification: A complex network-based approach [doi:10.1016/j.ins.2012.07.003]. Information Sciences [online], 2013, vol. 219, p. 168-180.
  • BACKES, A. R., CASANOVA, Dalcimar, e BRUNO, O. M. Identificação de plantas por análise de textura foliar. Learning and Nonlinear Models [online], 2011, vol. 9, p. 84-90. Disponível em: http://www.deti.ufc.br/~lnlm/.
  • BACKES, ANDRÉ RICARDO, CASANOVA, Dalcimar, and BRUNO, ODEMIR MARTINEZ. Color texture analysis based on fractal descriptors [doi:10.1016/j.patcog.2011.11.009]. Pattern Recognition [online], 2012, vol. 45, p. 1984-1992.
  • BACKES, ANDRÉ RICARDO, CASANOVA, Dalcimar, and BRUNO, ODEMIR MARTINEZ. PLANT LEAF IDENTIFICATION BASED ON VOLUMETRIC FRACTAL DIMENSION [doi:10.1142/S0218001409007508]. International Journal of Pattern Recognition and Artificial Intelligence [online], 2009, vol. 23, p. 1145.
  • CASANOVA, Dalcimar, BACKES, ANDRÉ RICARDO, e BRUNO, ODEMIR MARTINEZ. Pattern recognition tool based on complex network-based approach [doi:10.1088/1742-6596/410/1/012048]. Journal of Physics. Conference Series [online], 2013, vol. 410, p. 012048.
  • CASANOVA, Dalcimar, de Mesquita Sá Junior, Jarbas Joaci, and BRUNO, ODEMIR MARTINEZ. Plant leaf identification using Gabor wavelets [doi:10.1002/ima.20201]. International Journal of Imaging Systems and Technology [online], 2009, vol. 19, p. 236-243.
  • FLORINDO, João Batista, CASANOVA, Dalcimar, and BRUNO, ODEMIR MARTINEZ. Fractal Measures of Complex Networks Applied to Texture Analysis [doi:10.1088/1742-6596/410/1/012091]. Journal of Physics. Conference Series [online], 2013, vol. 410, p. 012091.
  • MACHADO, BRUNO BRANDOLI, et al. Partial differential equations and fractal analysis to plant leaf identification [doi:10.1088/1742-6596/410/1/012066]. Journal of Physics. Conference Series [online], 2013, vol. 410, p. 012066.
  • Rossatto, Davi Rodrigo, et al. Fractal analysis of leaf-texture properties as a tool for taxonomic and identification purposes: a case study with species from Neotropical Melastomataceae (Miconieae tribe) [doi:10.1007/s00606-010-0366-2]. Plant Systematics and Evolution [online], 2011, vol. 291, p. 103-116.
  • BACKES, A. R., CASANOVA, Dalcimar, e BRUNO, O. M. Método de aproximação poligonal de contornos utilizando redes complexas. INFOCOMP (UFLA), 2007, vol. 6, p. 71-80.
  • BACKES, A. R., CASANOVA, D, and BRUNO, O. M. A Complex Network-Based Approach for Texture Analysis [doi:10.1007/978-3-642-16687-7_48]. In 15th Iberoamerican Congress on Pattern Recognition - CIARP 2010, São Paulo, 2010. Lecture Notes in Computer Science.Berlim : Springer, 2010.
  • BACKES, A. R., CASANOVA, Dalcimar, e BRUNO, O. M. Identificação de plantas por análise da textura foliar. In VI Workshop de visão computacional, Presidente Prudente, 2010. Anais WVC'2010 - VI Workshop de visão computacional.Presidente Prudente : FCT/UNESP, 2010.
  • CASANOVA, Dalcimar, FALVO, Mauricio, e BRUNO, O. M. Influência da padronização do sistema de cor RGB nos métodos de visão computacional. In VII Workshop de Visão Computacional, Curitiba, 2011. Anais do VII Workshop de Visão Computacional.Curitiba : Universidade Federal do Paraná, 2011. Disponível em: http://www.wvc2011.ufpr.br.
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