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Parte de monografia/livro
Improved human skin segmentation using fuzzy fusion based on optimized thresholds by genetic algorithms (2016)
Santos, Anderson; Paiva, Jônatas; Toledo, Claudio Fabiano Motta ; Pedrini, Hélio
Source: Hybrid soft computing for image segmentation. Unidade: ICMC
Subjects: SISTEMAS EMBUTIDOS, COMPUTAÇÃO EVOLUTIVA, ROBÓTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SANTOS, Anderson et al. Improved human skin segmentation using fuzzy fusion based on optimized thresholds by genetic algorithms. Hybrid soft computing for image segmentation. Tradução . Cham: Springer International Publishing, 2016. p. 321 . Disponível em: https://doi.org/10.1007/978-3-319-47223-2_8. Acesso em: 01 nov. 2024.
APA
Santos, A., Paiva, J., Toledo, C. F. M., & Pedrini, H. (2016). Improved human skin segmentation using fuzzy fusion based on optimized thresholds by genetic algorithms. In Hybrid soft computing for image segmentation (p. 321 ). Cham: Springer International Publishing. doi:10.1007/978-3-319-47223-2_8
NLM
Santos A, Paiva J, Toledo CFM, Pedrini H. Improved human skin segmentation using fuzzy fusion based on optimized thresholds by genetic algorithms [Internet]. In: Hybrid soft computing for image segmentation. Cham: Springer International Publishing; 2016. p. 321 .[citado 2024 nov. 01 ] Available from: https://doi.org/10.1007/978-3-319-47223-2_8
Vancouver
Santos A, Paiva J, Toledo CFM, Pedrini H. Improved human skin segmentation using fuzzy fusion based on optimized thresholds by genetic algorithms [Internet]. In: Hybrid soft computing for image segmentation. Cham: Springer International Publishing; 2016. p. 321 .[citado 2024 nov. 01 ] Available from: https://doi.org/10.1007/978-3-319-47223-2_8
Artigo de periodico
An approach based on hybrid genetic algorithm applied to image denoising problem (2016)
Paiva, Jonatas Lopes de; Toledo, Claudio Fabiano Motta ; Pedrini, Hélio
Source: Applied Soft Computing. Unidade: ICMC
Subjects: SISTEMAS EMBUTIDOS, COMPUTAÇÃO EVOLUTIVA, ROBÓTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
PAIVA, Jonatas Lopes de e TOLEDO, Claudio Fabiano Motta e PEDRINI, Hélio. An approach based on hybrid genetic algorithm applied to image denoising problem. Applied Soft Computing, v. 46, p. 778-791, 2016Tradução . . Disponível em: https://doi.org/10.1016/j.asoc.2015.09.013. Acesso em: 01 nov. 2024.
APA
Paiva, J. L. de, Toledo, C. F. M., & Pedrini, H. (2016). An approach based on hybrid genetic algorithm applied to image denoising problem. Applied Soft Computing, 46, 778-791. doi:10.1016/j.asoc.2015.09.013
NLM
Paiva JL de, Toledo CFM, Pedrini H. An approach based on hybrid genetic algorithm applied to image denoising problem [Internet]. Applied Soft Computing. 2016 ; 46 778-791.[citado 2024 nov. 01 ] Available from: https://doi.org/10.1016/j.asoc.2015.09.013
Vancouver
Paiva JL de, Toledo CFM, Pedrini H. An approach based on hybrid genetic algorithm applied to image denoising problem [Internet]. Applied Soft Computing. 2016 ; 46 778-791.[citado 2024 nov. 01 ] Available from: https://doi.org/10.1016/j.asoc.2015.09.013
Trabalho de evento
A hybrid genetic algorithm for image denoising (2015)
Paiva, Jonatas L. de; Toledo, Claudio Fabiano Motta ; Pedrini, Hélio
Source: Proceedings. Conference titles: IEEE Congress on Evolutionary Computation – CEC 2015. Unidade: ICMC
Subjects: SISTEMAS EMBUTIDOS, COMPUTAÇÃO EVOLUTIVA, ROBÓTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
PAIVA, Jonatas L. de e TOLEDO, Claudio Fabiano Motta e PEDRINI, Hélio. A hybrid genetic algorithm for image denoising. 2015, Anais.. Piscataway: IEEE, 2015. Disponível em: https://doi.org/10.1109/CEC.2015.7257188. Acesso em: 01 nov. 2024.
APA
Paiva, J. L. de, Toledo, C. F. M., & Pedrini, H. (2015). A hybrid genetic algorithm for image denoising. In Proceedings. Piscataway: IEEE. doi:10.1109/CEC.2015.7257188
NLM
Paiva JL de, Toledo CFM, Pedrini H. A hybrid genetic algorithm for image denoising [Internet]. Proceedings. 2015 ;[citado 2024 nov. 01 ] Available from: https://doi.org/10.1109/CEC.2015.7257188
Vancouver
Paiva JL de, Toledo CFM, Pedrini H. A hybrid genetic algorithm for image denoising [Internet]. Proceedings. 2015 ;[citado 2024 nov. 01 ] Available from: https://doi.org/10.1109/CEC.2015.7257188
Trabalho de evento
Image denoising based on genetic algorithm (2013)
Toledo, Claudio Fabiano Motta ; Oliveira, Lucas de; Silva, Ricardo Dutra da; Pedrini, Hélio
Source: Proceedings. Conference titles: IEEE Congress on Evolutionary Computation - CEC 2013. Unidade: ICMC
Subjects: SISTEMAS EMBUTIDOS, COMPUTAÇÃO EVOLUTIVA, ROBÓTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
TOLEDO, Claudio Fabiano Motta et al. Image denoising based on genetic algorithm. 2013, Anais.. Piscataway, NJ: IEEE, 2013. Disponível em: https://doi.org/10.1109/CEC.2013.6557714. Acesso em: 01 nov. 2024.
APA
Toledo, C. F. M., Oliveira, L. de, Silva, R. D. da, & Pedrini, H. (2013). Image denoising based on genetic algorithm. In Proceedings. Piscataway, NJ: IEEE. doi:10.1109/CEC.2013.6557714
NLM
Toledo CFM, Oliveira L de, Silva RD da, Pedrini H. Image denoising based on genetic algorithm [Internet]. Proceedings. 2013 ;[citado 2024 nov. 01 ] Available from: https://doi.org/10.1109/CEC.2013.6557714
Vancouver
Toledo CFM, Oliveira L de, Silva RD da, Pedrini H. Image denoising based on genetic algorithm [Internet]. Proceedings. 2013 ;[citado 2024 nov. 01 ] Available from: https://doi.org/10.1109/CEC.2013.6557714

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