Efficient unsupervised image segmentation by optimum cuts in graphs (2019)
- Authors:
- USP affiliated authors: MIRANDA, PAULO ANDRE VECHIATTO DE - IME ; BEJAR, HANS HARLEY CCACYAHUILLCA - IME
- Unidade: IME
- DOI: 10.1007/978-3-030-13469-3_42
- Subjects: PROCESSAMENTO DE IMAGENS; VISÃO COMPUTACIONAL
- Keywords: unsupervised segmentation; image foresting transform Graph-cut measure measure; graph-cut measure
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: Proceedings
- Conference titles: Iberoamerican Congress on Pattern Recognition - CIARP : Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
BEJAR, Hans H. C e MANSILLA, Lucy Alsina Choque e MIRANDA, Paulo André Vechiatto de. Efficient unsupervised image segmentation by optimum cuts in graphs. 2019, Anais.. Cham: Springer, 2019. Disponível em: https://doi.org/10.1007/978-3-030-13469-3_42. Acesso em: 27 fev. 2026. -
APA
Bejar, H. H. C., Mansilla, L. A. C., & Miranda, P. A. V. de. (2019). Efficient unsupervised image segmentation by optimum cuts in graphs. In Proceedings. Cham: Springer. doi:10.1007/978-3-030-13469-3_42 -
NLM
Bejar HHC, Mansilla LAC, Miranda PAV de. Efficient unsupervised image segmentation by optimum cuts in graphs [Internet]. Proceedings. 2019 ;[citado 2026 fev. 27 ] Available from: https://doi.org/10.1007/978-3-030-13469-3_42 -
Vancouver
Bejar HHC, Mansilla LAC, Miranda PAV de. Efficient unsupervised image segmentation by optimum cuts in graphs [Internet]. Proceedings. 2019 ;[citado 2026 fev. 27 ] Available from: https://doi.org/10.1007/978-3-030-13469-3_42 - Efficient image segmentation in graphs with localized curvilinear features
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- Segmentação não supervisionada de imagens via Transformada Imagem-Floresta Orientada sujeita a restrições de alto nível
- Towards interactive image segmentation by dynamic and iterative spanning forest
- GPU-based iterative relative fuzzy connectedness image segmentation
- Oriented relative fuzzy connectedness: theory, algorithms, and its applications in hybrid image segmentation methods
- Relative fuzzy connectedness on directed graphs and its application in a hybrid method for interactive image segmentation
- Oriented image foresting transform segmentation by seed competition
- Intelligent understanding of user interaction in image segmentation
Informações sobre o DOI: 10.1007/978-3-030-13469-3_42 (Fonte: oaDOI API)
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