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@InProceedings{PereiraDiasMedeRebo:2017:ClFaGo,
               author = "Pereira, Renato F. and Dias, Madson Luis D. and Medeiros, Claudio 
                         Marques de S{\'a} and Rebou{\c{c}}as Filho, Pedro Pedrosa",
          affiliation = "Programa de P{\'o}s-Gradua{\c{c}}{\~a}o em Ci{\^e}ncia da 
                         Computa{\c{c}}{\~a}o do Instituto Federal de 
                         Educa{\c{c}}{\~a}o, Ci{\^e}ncia e Tecnologia do Cear{\'a} and 
                         Programa de P{\'o}s-Gradua{\c{c}}{\~a}o em Ci{\^e}ncia da 
                         Computa{\c{c}}{\~a}o do Instituto Federal de 
                         Educa{\c{c}}{\~a}o, Ci{\^e}ncia e Tecnologia do Cear{\'a} and 
                         Programa de P{\'o}s-Gradua{\c{c}}{\~a}o em Ci{\^e}ncia da 
                         Computa{\c{c}}{\~a}o do Instituto Federal de 
                         Educa{\c{c}}{\~a}o, Ci{\^e}ncia e Tecnologia do Cear{\'a} and 
                         Programa de P{\'o}s-Gradua{\c{c}}{\~a}o em Ci{\^e}ncia da 
                         Computa{\c{c}}{\~a}o do Instituto Federal de 
                         Educa{\c{c}}{\~a}o, Ci{\^e}ncia e Tecnologia do Cear{\'a}",
                title = "Classification of Failures in Goat Leather Samples Using Computer 
                         Vision and Machine Learning",
            booktitle = "Proceedings...",
                 year = "2017",
               editor = "Torchelsen, Rafael Piccin and Nascimento, Erickson Rangel do and 
                         Panozzo, Daniele and Liu, Zicheng and Farias, Myl{\`e}ne and 
                         Viera, Thales and Sacht, Leonardo and Ferreira, Nivan and Comba, 
                         Jo{\~a}o Luiz Dihl and Hirata, Nina and Schiavon Porto, Marcelo 
                         and Vital, Creto and Pagot, Christian Azambuja and Petronetto, 
                         Fabiano and Clua, Esteban and Cardeal, Fl{\'a}vio",
         organization = "Conference on Graphics, Patterns and Images, 30. (SIBGRAPI)",
            publisher = "Sociedade Brasileira de Computa{\c{c}}{\~a}o",
              address = "Porto Alegre",
             keywords = "Goat Leather, Classification of Failures, Computer Vision, Machine 
                         Learning.",
             abstract = "Textile industry has used goat skins in manufactur- ing products 
                         that require high quality control. Thus, a specialist performed a 
                         skins qualities classification to put a price on the goat leather 
                         sample, but this evaluation depends on whom evaluate. To reduce 
                         these divergences and to increase the productivity on the textile 
                         industry area, this paper presents a new approach to detect 
                         leather failure using feature extractor and machine learning 
                         classifiers. Also, a new feature extractor, called of Pixel 
                         Intensity Analyzer (PIA), is proposed for this application. 
                         Experiments were performed with a real data set comparing PIA with 
                         two other features extractors using machine learning classifiers 
                         with each one. In accuracy, the best approach was LBP with LS-SVM 
                         (RBF), but in processing time as a very important factor, since it 
                         is a real-time application to the industry, the PIA combined with 
                         ELM presents the best cost-effective because it also has excellent 
                         accuracy rates.",
  conference-location = "Niter{\'o}i, RJ",
      conference-year = "Oct. 17-20, 2017",
             language = "en",
                  ibi = "8JMKD3MGPAW/3PJKJM2",
                  url = "http://urlib.net/rep/8JMKD3MGPAW/3PJKJM2",
           targetfile = "manuscript_Sibgrapi.pdf",
        urlaccessdate = "2021, Jan. 21"
}


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