Document processing via trained morphological operators (2007)
- Autor:
- Autor USP: HIRATA, NINA SUMIKO TOMITA - IME
- Unidade: IME
- DOI: 10.1109/ICDAR.2007.4377024
- Subjects: PROCESSAMENTO DE IMAGENS; RECONHECIMENTO DE PADRÕES
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher: IEEE
- Publisher place: Piscataway
- Date published: 2007
- Source:
- Título: Proceedings
- Conference titles: IAPR International Conference on Document Analysis and Recognition - ICDAR
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
HIRATA, Nina Sumiko Tomita. Document processing via trained morphological operators. 2007, Anais.. Piscataway: IEEE, 2007. Disponível em: https://doi.org/10.1109/ICDAR.2007.4377024. Acesso em: 23 jan. 2026. -
APA
Hirata, N. S. T. (2007). Document processing via trained morphological operators. In Proceedings. Piscataway: IEEE. doi:10.1109/ICDAR.2007.4377024 -
NLM
Hirata NST. Document processing via trained morphological operators [Internet]. Proceedings. 2007 ;[citado 2026 jan. 23 ] Available from: https://doi.org/10.1109/ICDAR.2007.4377024 -
Vancouver
Hirata NST. Document processing via trained morphological operators [Internet]. Proceedings. 2007 ;[citado 2026 jan. 23 ] Available from: https://doi.org/10.1109/ICDAR.2007.4377024 - The use of high resolution images in morphological operator learning
- Morphological operator design from training data
- Automatic labeling of handwritten mathematical symbols via expression matching
- Fast QR code detection in arbitrarily acquired images
- Subexpression and dominant symbol histograms for spatial relation classification in mathematical expressions
- Order statistic filters: minimal collection of minimum weight vectors
- Fast component-based QR Code detection in arbitrarily acquired images
- Stack filters: from definition to design algorithms
- Projeto automático de operadores: explorando conhecimentos a priori
- Image operator learning coupled with CNN classification and its application to staff line removal
Informações sobre o DOI: 10.1109/ICDAR.2007.4377024 (Fonte: oaDOI API)
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