Prior information in the design of optimal binary filters (1998)
- Authors:
- Autor USP: BARRERA, JUNIOR - IME
- Unidade: IME
- DOI: 10.5555/295095.295180
- Subjects: PROCESSAMENTO DE IMAGENS; PROCESSAMENTO DE SINAIS
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: Proceedings
- Conference titles: International symposium on Mathematical morphology and its applications to image and signal processing - ISMM
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
DOUGHERTY, Edward R e BARRERA, Júnior. Prior information in the design of optimal binary filters. 1998, Anais.. New York: ACM, 1998. Disponível em: https://dl.acm.org/doi/10.5555/295095.295180. Acesso em: 16 out. 2024. -
APA
Dougherty, E. R., & Barrera, J. (1998). Prior information in the design of optimal binary filters. In Proceedings. New York: ACM. doi:10.5555/295095.295180 -
NLM
Dougherty ER, Barrera J. Prior information in the design of optimal binary filters [Internet]. Proceedings. 1998 ;[citado 2024 out. 16 ] Available from: https://dl.acm.org/doi/10.5555/295095.295180 -
Vancouver
Dougherty ER, Barrera J. Prior information in the design of optimal binary filters [Internet]. Proceedings. 1998 ;[citado 2024 out. 16 ] Available from: https://dl.acm.org/doi/10.5555/295095.295180 - 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
Informações sobre o DOI: 10.5555/295095.295180 (Fonte: oaDOI API)
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas