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
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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: 04 jan. 2026.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_8NLM
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 2026 jan. 04 ] Available from: https://doi.org/10.1007/978-3-319-47223-2_8Vancouver
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 2026 jan. 04 ] Available from: https://doi.org/10.1007/978-3-319-47223-2_8
