Two-stage binary image operator design: an approach based on interaction information (2007)
- Authors:
- USP affiliated authors: HIRATA, NINA SUMIKO TOMITA - IME ; JUNIOR, ROBERTO HIRATA - IME
- Unidade: IME
- DOI: 10.1109/SIBGRAPI.2007.24
- Assunto: PROCESSAMENTO DE IMAGENS
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher: IEEE
- Publisher place: Piscataway
- Date published: 2007
- Source:
- Título: Proceedings
- Conference titles: Brazilian Symposium on Computer Graphics and Image Processing - SIBGRAPI
- Este periódico é de assinatura
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: green
-
ABNT
SANTOS, Carlos Santana dos e HIRATA, Nina Sumiko Tomita e HIRATA JÚNIOR, Roberto. Two-stage binary image operator design: an approach based on interaction information. 2007, Anais.. Piscataway: IEEE, 2007. Disponível em: https://doi.org/10.1109/SIBGRAPI.2007.24. Acesso em: 27 dez. 2025. -
APA
Santos, C. S. dos, Hirata, N. S. T., & Hirata Júnior, R. (2007). Two-stage binary image operator design: an approach based on interaction information. In Proceedings. Piscataway: IEEE. doi:10.1109/SIBGRAPI.2007.24 -
NLM
Santos CS dos, Hirata NST, Hirata Júnior R. Two-stage binary image operator design: an approach based on interaction information [Internet]. Proceedings. 2007 ;[citado 2025 dez. 27 ] Available from: https://doi.org/10.1109/SIBGRAPI.2007.24 -
Vancouver
Santos CS dos, Hirata NST, Hirata Júnior R. Two-stage binary image operator design: an approach based on interaction information [Internet]. Proceedings. 2007 ;[citado 2025 dez. 27 ] Available from: https://doi.org/10.1109/SIBGRAPI.2007.24 - Comics image processing: learning to segment text
- Staff removal using image operator learning
- Kernel approximations for W-operator learning
- An information theory framework for two-stage binary image operator design
- A machine learning based method for staff removal
- Learning to remove staff lines from music score images
- NILC: a two level learning algorithm with operator selection
- Image operator learning and applications
- Image operator learning based on local features
- Basis computation algorithms
Informações sobre o DOI: 10.1109/SIBGRAPI.2007.24 (Fonte: oaDOI API)
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