Laplacian coordinates: theory and methods for seeded image segmentation (2021)
- Authors:
- Autor USP: NONATO, LUIS GUSTAVO - ICMC
- Unidade: ICMC
- DOI: 10.1109/TPAMI.2020.2974475
- Subjects: PROCESSAMENTO DE IMAGENS; OPERADORES; BENCHMARKS
- Keywords: Seeded image segmentation; graph laplacian; laplacian coordinates; energy minimization models
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher place: Piscataway
- Date published: 2021
- Source:
- Título: IEEE Transactions on Pattern Analysis and Machine Intelligence
- ISSN: 0162-8828
- Volume/Número/Paginação/Ano: v. 48, n. 8, p. 2665-2681, 2021
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
CASACA, Wallace Correa de Oliveira et al. Laplacian coordinates: theory and methods for seeded image segmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence, v. 48, n. 8, p. 2665-2681, 2021Tradução . . Disponível em: https://doi.org/10.1109/TPAMI.2020.2974475. Acesso em: 23 jan. 2026. -
APA
Casaca, W. C. de O., Gois, J. P., Batagelo, H., Taubin, G., & Nonato, L. G. (2021). Laplacian coordinates: theory and methods for seeded image segmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence, 48( 8), 2665-2681. doi:10.1109/TPAMI.2020.2974475 -
NLM
Casaca WC de O, Gois JP, Batagelo H, Taubin G, Nonato LG. Laplacian coordinates: theory and methods for seeded image segmentation [Internet]. IEEE Transactions on Pattern Analysis and Machine Intelligence. 2021 ; 48( 8): 2665-2681.[citado 2026 jan. 23 ] Available from: https://doi.org/10.1109/TPAMI.2020.2974475 -
Vancouver
Casaca WC de O, Gois JP, Batagelo H, Taubin G, Nonato LG. Laplacian coordinates: theory and methods for seeded image segmentation [Internet]. IEEE Transactions on Pattern Analysis and Machine Intelligence. 2021 ; 48( 8): 2665-2681.[citado 2026 jan. 23 ] Available from: https://doi.org/10.1109/TPAMI.2020.2974475 - MOUNTAINEER: topology-driven visual analytics for comparing local explanations
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Informações sobre o DOI: 10.1109/TPAMI.2020.2974475 (Fonte: oaDOI API)
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