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Percolation Features: An approach for evaluating fractal properties in colour images[Formula presented]

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dc.contributor.authorRoberto, Guilherme Freire
dc.contributor.authorNeves, Leandro Alves [UNESP]
dc.contributor.authorda Costa Longo, Leonardo Henrique [UNESP]
dc.contributor.authorRozendo, Guilherme Botazzo [UNESP]
dc.contributor.authorTosta, Thaína Aparecida Azevedo
dc.contributor.authorde Faria, Paulo Rogério
dc.contributor.authorMartins, Alessandro Santana
dc.contributor.authordo Nascimento, Marcelo Zanchetta
dc.contributor.institutionUniversidade de São Paulo (USP)
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)
dc.contributor.institutionUniversidade Federal de Uberlândia (UFU)
dc.contributor.institutionScience and Technology of Triângulo Mineiro (IFTM)
dc.date.accessioned2023-03-01T21:05:15Z
dc.date.available2023-03-01T21:05:15Z
dc.date.issued2022-11-01
dc.description.abstractPercolation is a physical phenomenon that describes the transport of fluids through porous media. We present a new approach for extracting local and global percolation features from RGB images. The proposed method is based on multiscale and multidimensional approaches for extracting other fractal measures from histology images. Our method is able to obtain three percolation properties: number of clusters, occurrence of percolation, and size of the largest cluster. This approach aimed to provide an alternative to fractal dimension and lacunarity as ways of evaluating fractal properties in an image.en
dc.description.affiliationInstitute of Mathematics and Computer Science (ICMC) University of São Paulo (USP), Av. Trabalhador São-carlense, 400
dc.description.affiliationDepartment of Computer Science and Statistics (DCCE) São Paulo State University (UNESP), Rua Cristóvão Colombo, 2265
dc.description.affiliationScience and Technology Institute Federal University of São Paulo (UNIFESP), Avenida Cesare Mansueto Giulio Lattes, 1201
dc.description.affiliationDepartment of Histology and Morphology Institute of Biomedical Science Federal University of Uberlândia (UFU), Av. Amazonas, S/N
dc.description.affiliationFederal Institute of Education Science and Technology of Triângulo Mineiro (IFTM), Rua Belarmino Vilela Junqueira
dc.description.affiliationFaculty of Computer Science (FACOM) - Federal University of Uberlândia (UFU), Avenida João Naves de Ávila 2121, Bl.B
dc.description.affiliationUnespDepartment of Computer Science and Statistics (DCCE) São Paulo State University (UNESP), Rua Cristóvão Colombo, 2265
dc.description.sponsorshipConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.description.sponsorshipFundação de Amparo à Pesquisa do Estado de Minas Gerais (FAPEMIG)
dc.description.sponsorshipCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
dc.description.sponsorshipIdCNPq: #311404/2021-9
dc.description.sponsorshipIdCNPq: #313643/2021-0
dc.description.sponsorshipIdFAPEMIG: #APQ-00578-18
dc.description.sponsorshipIdFAPEMIG: #APQ-01129-21
dc.description.sponsorshipIdCAPES: 001
dc.identifierhttp://dx.doi.org/10.1016/j.simpa.2022.100387
dc.identifier.citationSoftware Impacts, v. 14.
dc.identifier.doi10.1016/j.simpa.2022.100387
dc.identifier.issn2665-9638
dc.identifier.scopus2-s2.0-85135525559
dc.identifier.urihttp://hdl.handle.net/11449/241480
dc.language.isoeng
dc.relation.ispartofSoftware Impacts
dc.sourceScopus
dc.subjectFeature extraction
dc.subjectFractal geometry
dc.subjectPattern recognition
dc.subjectPercolation
dc.titlePercolation Features: An approach for evaluating fractal properties in colour images[Formula presented]en
dc.typeArtigo
unesp.author.orcid0000-0001-5883-2983[1]
unesp.campusUniversidade Estadual Paulista (Unesp), Instituto de Biociências Letras e Ciências Exatas, São José do Rio Pretopt
unesp.departmentCiências da Computação e Estatística - IBILCEpt

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São José do Rio Preto - IBILCE - Instituto de Biociências, Letras e Ciências Exatas