Computational learning applied to image sequence segmentation (2000)
- Autores:
- Autor USP: BARRERA, JUNIOR - IME
- Unidade: IME
- Assunto: PROCESSAMENTO DE IMAGENS
- Agências de fomento:
- Idioma: Inglês
- Imprenta:
- Fonte:
- Título do periódico: Proceedings
- Nome do evento: International Joint Conference: IBERAMIA-SBIA
-
ABNT
FLORES, Franklin César e BARRERA, Júnior. Computational learning applied to image sequence segmentation. 2000, Anais.. São Paulo: Tec Art, 2000. . Acesso em: 23 abr. 2024. -
APA
Flores, F. C., & Barrera, J. (2000). Computational learning applied to image sequence segmentation. In Proceedings. São Paulo: Tec Art. -
NLM
Flores FC, Barrera J. Computational learning applied to image sequence segmentation. Proceedings. 2000 ;[citado 2024 abr. 23 ] -
Vancouver
Flores FC, Barrera J. Computational learning applied to image sequence segmentation. Proceedings. 2000 ;[citado 2024 abr. 23 ] - Mathematical morphology and its applications to signal and image processing
- Hybrid human-machine non-linear filter design using envelopes
- Finding robust linear expression-based classifiers
- Pattern recognition theory in nonlinear signal processing
- Verificação de impressões digitais utilizando morfologia matemática
- A parallel algorithm for finding small sets of genes that are enough to distinguish two biological states
- Optimal range-domain window filters
- Mathematical morphology toolbox for the KHOROS system
- Automatic programming of binary morphological machines by design of statistically optimal operators in the context of computational learning theory
- Color image gradients for morphological segmentation
Como citar
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas