Image operator learning coupled with CNN classification and its application to staff line removal (2018)
- Authors:
- Autor USP: HIRATA, NINA SUMIKO TOMITA - IME
- Unidade: IME
- DOI: 10.1109/ICDAR.2017.18
- Subjects: PROCESSAMENTO DE IMAGENS; APRENDIZADO COMPUTACIONAL
- Keywords: image operator learning; convolutional neural networks; staff line removal
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher: IEEE
- Publisher place: Piscataway
- Date published: 2018
- Source:
- Título: Proceedings
- Conference titles: IAPR International Conference on Document Analysis and Recognition - ICDAR
- Este artigo NÃO possui versão em acesso aberto
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Status: Nenhuma versão em acesso aberto identificada -
ABNT
JULCA AGUILAR, Frank Dennis e HIRATA, Nina Sumiko Tomita. Image operator learning coupled with CNN classification and its application to staff line removal. 2018, Anais.. Piscataway: IEEE, 2018. Disponível em: https://doi.org/10.1109/ICDAR.2017.18. Acesso em: 11 mar. 2026. -
APA
Julca Aguilar, F. D., & Hirata, N. S. T. (2018). Image operator learning coupled with CNN classification and its application to staff line removal. In Proceedings. Piscataway: IEEE. doi:10.1109/ICDAR.2017.18 -
NLM
Julca Aguilar FD, Hirata NST. Image operator learning coupled with CNN classification and its application to staff line removal [Internet]. Proceedings. 2018 ;[citado 2026 mar. 11 ] Available from: https://doi.org/10.1109/ICDAR.2017.18 -
Vancouver
Julca Aguilar FD, Hirata NST. Image operator learning coupled with CNN classification and its application to staff line removal [Internet]. Proceedings. 2018 ;[citado 2026 mar. 11 ] Available from: https://doi.org/10.1109/ICDAR.2017.18 - A model for simulating user interaction in hierarchical segmentation
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