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 periódico é de assinatura
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: green
-
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: 17 out. 2024. -
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 2024 out. 17 ] 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 2024 out. 17 ] Available from: https://doi.org/10.1109/ICDAR.2017.18 - On machine-learning morphological image operators
- Multilevel training of binary morphological operators
- Subexpression and dominant symbol histograms for spatial relation classification in mathematical expressions
- Matching based ground-truth annotation for online handwritten mathematical expressions
- Mathematical symbol hypothesis recognition with rejection option
- Symbol detection in online handwritten graphics using faster R-CNN
- Ferramenta interativa de desenho de redes de regulação gênica
- Automatic labeling of handwritten mathematical symbols via expression matching
- Fast component-based QR Code detection in arbitrarily acquired images
- Selection of windows for W-operator combination from entropy based ranking
Informações sobre o DOI: 10.1109/ICDAR.2017.18 (Fonte: oaDOI API)
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