Design of statistically optimal morphological operators (2000)
- Authors:
- Autor USP: BARRERA, JUNIOR - IME
- Unidade: IME
- Assunto: PROCESSAMENTO DE IMAGENS
- Language: Inglês
- Imprenta:
- Source:
- Título: Abstract booklet
- Conference titles: European Signal Processing Conference - EUSIPCO
-
ABNT
BARRERA, Júnior e DOUGHERTY, Edward R. Design of statistically optimal morphological operators. 2000, Anais.. Lausanne: Eurasip, 2000. Disponível em: https://www.eurasip.org/Proceedings/Eusipco/Eusipco2000/EUSIPCO.PDF. Acesso em: 07 maio 2026. -
APA
Barrera, J., & Dougherty, E. R. (2000). Design of statistically optimal morphological operators. In Abstract booklet. Lausanne: Eurasip. Recuperado de https://www.eurasip.org/Proceedings/Eusipco/Eusipco2000/EUSIPCO.PDF -
NLM
Barrera J, Dougherty ER. Design of statistically optimal morphological operators [Internet]. Abstract booklet. 2000 ;[citado 2026 maio 07 ] Available from: https://www.eurasip.org/Proceedings/Eusipco/Eusipco2000/EUSIPCO.PDF -
Vancouver
Barrera J, Dougherty ER. Design of statistically optimal morphological operators [Internet]. Abstract booklet. 2000 ;[citado 2026 maio 07 ] Available from: https://www.eurasip.org/Proceedings/Eusipco/Eusipco2000/EUSIPCO.PDF - Morphological paradigm for loss-function-based design of digital filters
- Optimal filters from prior filters
- Clustering granulometric features
- Special section on nonlinear image processing. [Editorial]
- Nonlinear filtering and pattern recognition: Are they the same?
- Modeling cancer: integration of "omics" information in dynamic systems
- Set operations on closed intervals and their applications to the automatic programming of morphological machines
- Fast algorithms to compute the elementary operators of mathematical morphology
- Design of gray-scale nonlinear filters via multiresolution apertures
- Some applications of aperture filters
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
