Granulometric classifiers from small samples (2002)
- Authors:
- USP affiliated authors: HASHIMOTO, RONALDO FUMIO - IME ; BARRERA, JUNIOR - IME
- Unidade: IME
- DOI: 10.1117/12.467971
- Subjects: PROCESSAMENTO DE IMAGENS; PEQUENAS AMOSTRAS
- Keywords: granulometries; linear classifier; decision tree
- Language: Inglês
- Imprenta:
- Publisher: SPIE
- Publisher place: Bellingham
- Date published: 2002
- Source:
- Título do periódico: Proceedings of SPIE
- ISSN: 0277-786X
- Volume/Número/Paginação/Ano: v. 4667, p. 100-107, 2002
- Conference titles: Image processing: algorithms and system
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
BALAGURUNATHAN, Yoganand et al. Granulometric classifiers from small samples. Proceedings of SPIE. Bellingham: SPIE. Disponível em: https://doi.org/10.1117/12.467971. Acesso em: 19 abr. 2024. , 2002 -
APA
Balagurunathan, Y., Hashimoto, R. F., Kim, S., Barrera, J., & Dougherty, E. R. (2002). Granulometric classifiers from small samples. Proceedings of SPIE. Bellingham: SPIE. doi:10.1117/12.467971 -
NLM
Balagurunathan Y, Hashimoto RF, Kim S, Barrera J, Dougherty ER. Granulometric classifiers from small samples [Internet]. Proceedings of SPIE. 2002 ; 4667 100-107.[citado 2024 abr. 19 ] Available from: https://doi.org/10.1117/12.467971 -
Vancouver
Balagurunathan Y, Hashimoto RF, Kim S, Barrera J, Dougherty ER. Granulometric classifiers from small samples [Internet]. Proceedings of SPIE. 2002 ; 4667 100-107.[citado 2024 abr. 19 ] Available from: https://doi.org/10.1117/12.467971 - A simple algorithm for decomposing convex structuring elements
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- Analytical solutions for the Minkowski addition equation
- A note on Park and Chin's algorithm
- Compact representation of w-operators
- From the sup-decomposition to a sequential decomposition
- Finding solutions for the dilation factorization equation
- A greedy algorithm for decomposing convex structuring elements
- Compact representation of w-operators
Informações sobre o DOI: 10.1117/12.467971 (Fonte: oaDOI API)
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