A supervoxel-based solution to resume segmentation for interactive correction by differential image-foresting transforms (2017)
- Authors:
- Autor USP: MIRANDA, PAULO ANDRE VECHIATTO DE - IME
- Unidade: IME
- DOI: 10.1007%2F978-3-319-57240-6_9
- Assunto: PROCESSAMENTO DE IMAGENS
- Keywords: interactive editing; segmentation; supervoxel; image-foresting transform
- Language: Inglês
- Imprenta:
- Source:
- Conference titles: International Symposium on Mathematical Morphology and Its Applications to Signal and Image Processing -ISMM
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
TAVARES, Anderson et al. A supervoxel-based solution to resume segmentation for interactive correction by differential image-foresting transforms. 2017, Anais.. Cham: Springer, 2017. Disponível em: https://doi.org/10.1007/978-3-319-57240-6_9. Acesso em: 11 jan. 2026. -
APA
Tavares, A., Miranda, P. A. V. de, Spina, T. V., & Falcão, A. X. (2017). A supervoxel-based solution to resume segmentation for interactive correction by differential image-foresting transforms. In Mathematical Morphology and Its Applications to Signal and Image Processing: Proceedings. Cham: Springer. doi:10.1007%2F978-3-319-57240-6_9 -
NLM
Tavares A, Miranda PAV de, Spina TV, Falcão AX. A supervoxel-based solution to resume segmentation for interactive correction by differential image-foresting transforms [Internet]. Mathematical Morphology and Its Applications to Signal and Image Processing: Proceedings. 2017 ;[citado 2026 jan. 11 ] Available from: https://doi.org/10.1007/978-3-319-57240-6_9 -
Vancouver
Tavares A, Miranda PAV de, Spina TV, Falcão AX. A supervoxel-based solution to resume segmentation for interactive correction by differential image-foresting transforms [Internet]. Mathematical Morphology and Its Applications to Signal and Image Processing: Proceedings. 2017 ;[citado 2026 jan. 11 ] Available from: https://doi.org/10.1007/978-3-319-57240-6_9 - IFT-SLIC: a general framework for superpixel generation based on simple linear iterative clustering and image foresting transform
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Informações sobre o DOI: 10.1007%2F978-3-319-57240-6_9 (Fonte: oaDOI API)
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