Effective image segmentation with flexible ICM-based Markov Random Fields ICM-based Markov Random Fields in distributed systems of personal computers (2000)
- Authors:
- Autor USP: COSTA, LUCIANO DA FONTOURA - IFSC
- Unidade: IFSC
- Subjects: INSTRUMENTAÇÃO (FÍSICA); SIMULAÇÃO; COMPUTAÇÃO APLICADA
- Language: Inglês
- Imprenta:
- Source:
- Título: Real-Time Imaging
- Volume/Número/Paginação/Ano: v. 6, p. 283-295, 2000
-
ABNT
BRUNO, Odemir Martinez e COSTA, Luciano da Fontoura. Effective image segmentation with flexible ICM-based Markov Random Fields ICM-based Markov Random Fields in distributed systems of personal computers. Real-Time Imaging, v. 6, p. 283-295, 2000Tradução . . Acesso em: 27 dez. 2025. -
APA
Bruno, O. M., & Costa, L. da F. (2000). Effective image segmentation with flexible ICM-based Markov Random Fields ICM-based Markov Random Fields in distributed systems of personal computers. Real-Time Imaging, 6, 283-295. -
NLM
Bruno OM, Costa L da F. Effective image segmentation with flexible ICM-based Markov Random Fields ICM-based Markov Random Fields in distributed systems of personal computers. Real-Time Imaging. 2000 ; 6 283-295.[citado 2025 dez. 27 ] -
Vancouver
Bruno OM, Costa L da F. Effective image segmentation with flexible ICM-based Markov Random Fields ICM-based Markov Random Fields in distributed systems of personal computers. Real-Time Imaging. 2000 ; 6 283-295.[citado 2025 dez. 27 ] - Application and assessment of multiscale bending energy for morphometric characterization of neural cells
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