Filtros : "Indexado no Inspec" "Gonzaga, Adilson" Limpar

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  • Source: Journal of Digital Imaging. Unidade: EESC

    Subjects: ENGENHARIA ELÉTRICA, MAMOGRAFIA, IMAGEM DIGITAL

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      PEREIRA JUNIOR, Osmando et al. A novel fusion-based texture descriptor to improve the detection of architectural distortion in digital mammography. Journal of Digital Imaging, p. 1-17, 2020Tradução . . Disponível em: https://doi.org/10.1007/s10278-020-00391-5. Acesso em: 26 ago. 2024.
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      Pereira Junior, O., Oliveira, H. C. R. de, Ferraz, C. T., Saito, J. H., Vieira, M. A. da C., & Gonzaga, A. (2020). A novel fusion-based texture descriptor to improve the detection of architectural distortion in digital mammography. Journal of Digital Imaging, 1-17. doi:10.1007/s10278-020-00391-5
    • NLM

      Pereira Junior O, Oliveira HCR de, Ferraz CT, Saito JH, Vieira MA da C, Gonzaga A. A novel fusion-based texture descriptor to improve the detection of architectural distortion in digital mammography [Internet]. Journal of Digital Imaging. 2020 ; 1-17.[citado 2024 ago. 26 ] Available from: https://doi.org/10.1007/s10278-020-00391-5
    • Vancouver

      Pereira Junior O, Oliveira HCR de, Ferraz CT, Saito JH, Vieira MA da C, Gonzaga A. A novel fusion-based texture descriptor to improve the detection of architectural distortion in digital mammography [Internet]. Journal of Digital Imaging. 2020 ; 1-17.[citado 2024 ago. 26 ] Available from: https://doi.org/10.1007/s10278-020-00391-5
  • Source: Multimedia Tools and Applications. Unidade: EESC

    Subjects: ÍRIS, BIOMETRIA, PUPILA, ENGENHARIA ELÉTRICA

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      SOUZA, Jones Mendonça de e GONZAGA, Adilson. Human iris feature extraction under pupil size variation using local texture descriptors. Multimedia Tools and Applications, 2019Tradução . . Disponível em: https://doi.org/10.1007/s11042-019-7371-4. Acesso em: 26 ago. 2024.
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      Souza, J. M. de, & Gonzaga, A. (2019). Human iris feature extraction under pupil size variation using local texture descriptors. Multimedia Tools and Applications. doi:10.1007/s11042-019-7371-4
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      Souza JM de, Gonzaga A. Human iris feature extraction under pupil size variation using local texture descriptors [Internet]. Multimedia Tools and Applications. 2019 ;[citado 2024 ago. 26 ] Available from: https://doi.org/10.1007/s11042-019-7371-4
    • Vancouver

      Souza JM de, Gonzaga A. Human iris feature extraction under pupil size variation using local texture descriptors [Internet]. Multimedia Tools and Applications. 2019 ;[citado 2024 ago. 26 ] Available from: https://doi.org/10.1007/s11042-019-7371-4
  • Source: Journal of Electronic Imaging. Unidade: EESC

    Subjects: ILUMINAÇÃO, IMAGEM, ENGENHARIA ELÉTRICA

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      NEGRI, Tamiris Trevisan et al. Extended color local mapped pattern for color texture classification under varying illumination. Journal of Electronic Imaging, v. 27, n. Ja/Feb. 2018, p. 011008(1-12), 2018Tradução . . Disponível em: https://doi.org/10.1117/1.JEI.27.1.011008. Acesso em: 26 ago. 2024.
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      Negri, T. T., Zhou, F., Obradovic, Z., & Gonzaga, A. (2018). Extended color local mapped pattern for color texture classification under varying illumination. Journal of Electronic Imaging, 27( Ja/Feb. 2018), 011008(1-12). doi:10.1117/1.JEI.27.1.011008
    • NLM

      Negri TT, Zhou F, Obradovic Z, Gonzaga A. Extended color local mapped pattern for color texture classification under varying illumination [Internet]. Journal of Electronic Imaging. 2018 ; 27( Ja/Feb. 2018): 011008(1-12).[citado 2024 ago. 26 ] Available from: https://doi.org/10.1117/1.JEI.27.1.011008
    • Vancouver

      Negri TT, Zhou F, Obradovic Z, Gonzaga A. Extended color local mapped pattern for color texture classification under varying illumination [Internet]. Journal of Electronic Imaging. 2018 ; 27( Ja/Feb. 2018): 011008(1-12).[citado 2024 ago. 26 ] Available from: https://doi.org/10.1117/1.JEI.27.1.011008
  • Source: Multimedia Tools and Applications. Unidade: EESC

    Subjects: RECONHECIMENTO DE IMAGEM, ENGENHARIA ELÉTRICA

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      VIEIRA, Raissa Tavares e NEGRI, Tamiris Trevisan e GONZAGA, Adilson. Improving the classification of rotated images by adding the signal and magnitude information to a local texture descriptor. Multimedia Tools and Applications, 2018Tradução . . Disponível em: https://doi.org/10.1007/s11042-018-6204-1. Acesso em: 26 ago. 2024.
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      Vieira, R. T., Negri, T. T., & Gonzaga, A. (2018). Improving the classification of rotated images by adding the signal and magnitude information to a local texture descriptor. Multimedia Tools and Applications. doi:10.1007/s11042-018-6204-1
    • NLM

      Vieira RT, Negri TT, Gonzaga A. Improving the classification of rotated images by adding the signal and magnitude information to a local texture descriptor [Internet]. Multimedia Tools and Applications. 2018 ;[citado 2024 ago. 26 ] Available from: https://doi.org/10.1007/s11042-018-6204-1
    • Vancouver

      Vieira RT, Negri TT, Gonzaga A. Improving the classification of rotated images by adding the signal and magnitude information to a local texture descriptor [Internet]. Multimedia Tools and Applications. 2018 ;[citado 2024 ago. 26 ] Available from: https://doi.org/10.1007/s11042-018-6204-1
  • Source: Machine Vision and Applications. Unidade: EESC

    Subjects: PROCESSAMENTO DE IMAGENS, BIOMETRIA, PELE, COR

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      SEVERINO JUNIOR, Osvaldo e GONZAGA, Adilson. A new approach for color image segmentation based on color mixture. Machine Vision and Applications, v. 24, n. 3, p. 607-618, 2013Tradução . . Disponível em: https://doi.org/10.1007/s00138-011-0395-z. Acesso em: 26 ago. 2024.
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      Severino Junior, O., & Gonzaga, A. (2013). A new approach for color image segmentation based on color mixture. Machine Vision and Applications, 24( 3), 607-618. doi:10.1007/s00138-011-0395-z
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      Severino Junior O, Gonzaga A. A new approach for color image segmentation based on color mixture [Internet]. Machine Vision and Applications. 2013 ; 24( 3): 607-618.[citado 2024 ago. 26 ] Available from: https://doi.org/10.1007/s00138-011-0395-z
    • Vancouver

      Severino Junior O, Gonzaga A. A new approach for color image segmentation based on color mixture [Internet]. Machine Vision and Applications. 2013 ; 24( 3): 607-618.[citado 2024 ago. 26 ] Available from: https://doi.org/10.1007/s00138-011-0395-z
  • Source: Lecture Notes in Computer Science. Conference titles: International Conference on Intelligent Data Engineering and Automated Learning. Unidade: EESC

    Subjects: IMAGEM DIGITAL (ANÁLISE), LÓGICA FUZZY

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      VIEIRA, Raissa Tavares et al. Local fuzzy pattern: a new way for micro-pattern analysis. Lecture Notes in Computer Science. Heidelberg: Escola de Engenharia de São Carlos, Universidade de São Paulo. Disponível em: https://doi.org/10.1007/978-3-642-32639-4_73. Acesso em: 26 ago. 2024. , 2012
    • APA

      Vieira, R. T., Chierici, C. E. de O., Ferraz, C. T., & Gonzaga, A. (2012). Local fuzzy pattern: a new way for micro-pattern analysis. Lecture Notes in Computer Science. Heidelberg: Escola de Engenharia de São Carlos, Universidade de São Paulo. doi:10.1007/978-3-642-32639-4_73
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      Vieira RT, Chierici CE de O, Ferraz CT, Gonzaga A. Local fuzzy pattern: a new way for micro-pattern analysis [Internet]. Lecture Notes in Computer Science. 2012 ; 7435 602-611.[citado 2024 ago. 26 ] Available from: https://doi.org/10.1007/978-3-642-32639-4_73
    • Vancouver

      Vieira RT, Chierici CE de O, Ferraz CT, Gonzaga A. Local fuzzy pattern: a new way for micro-pattern analysis [Internet]. Lecture Notes in Computer Science. 2012 ; 7435 602-611.[citado 2024 ago. 26 ] Available from: https://doi.org/10.1007/978-3-642-32639-4_73
  • Source: IEEE Transactions on Systems, Man and Cybernetics - Part B : cybernetics. Unidade: EESC

    Subjects: BIOMETRIA, ÍRIS, RECONHECIMENTO DE PADRÕES

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      COSTA, Ronaldo Martins da e GONZAGA, Adilson. Dynamic features for iris recognition. IEEE Transactions on Systems, Man and Cybernetics - Part B : cybernetics, v. 42, n. 4, p. 1072-1082, 2012Tradução . . Disponível em: https://doi.org/10.1109/TSMCB.2012.2186125. Acesso em: 26 ago. 2024.
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      Costa, R. M. da, & Gonzaga, A. (2012). Dynamic features for iris recognition. IEEE Transactions on Systems, Man and Cybernetics - Part B : cybernetics, 42( 4), 1072-1082. doi:10.1109/TSMCB.2012.2186125
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      Costa RM da, Gonzaga A. Dynamic features for iris recognition [Internet]. IEEE Transactions on Systems, Man and Cybernetics - Part B : cybernetics. 2012 ; 42( 4): 1072-1082.[citado 2024 ago. 26 ] Available from: https://doi.org/10.1109/TSMCB.2012.2186125
    • Vancouver

      Costa RM da, Gonzaga A. Dynamic features for iris recognition [Internet]. IEEE Transactions on Systems, Man and Cybernetics - Part B : cybernetics. 2012 ; 42( 4): 1072-1082.[citado 2024 ago. 26 ] Available from: https://doi.org/10.1109/TSMCB.2012.2186125
  • Source: Multimedia Tools and Applications. Unidade: EESC

    Subjects: BIOMETRIA, MARCHA (LOCOMOÇÃO) (ANÁLISE)

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      ARANTES, Milene e GONZAGA, Adilson. Human gait recognition using extraction and fusion of global motion features. Multimedia Tools and Applications, v. 55, n. 3, p. 655-675, 2011Tradução . . Disponível em: https://doi.org/10.1007/s11042-010-0587-y. Acesso em: 26 ago. 2024.
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      Arantes, M., & Gonzaga, A. (2011). Human gait recognition using extraction and fusion of global motion features. Multimedia Tools and Applications, 55( 3), 655-675. doi:10.1007/s11042-010-0587-y
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      Arantes M, Gonzaga A. Human gait recognition using extraction and fusion of global motion features [Internet]. Multimedia Tools and Applications. 2011 ; 55( 3): 655-675.[citado 2024 ago. 26 ] Available from: https://doi.org/10.1007/s11042-010-0587-y
    • Vancouver

      Arantes M, Gonzaga A. Human gait recognition using extraction and fusion of global motion features [Internet]. Multimedia Tools and Applications. 2011 ; 55( 3): 655-675.[citado 2024 ago. 26 ] Available from: https://doi.org/10.1007/s11042-010-0587-y

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