Image segmentation by relaxed deep extreme cut with connected extreme points (2021)
- Authors:
- USP affiliated authors: MIRANDA, PAULO ANDRE VECHIATTO DE - IME ; OLIVEIRA, DÉBORA EMILLI COSTA - IME ; DEMARIO, CAIO LOPES - IME
- Unidade: IME
- DOI: 10.1007/978-3-030-76657-3_32
- Assunto: PROCESSAMENTO DE IMAGENS
- Keywords: Deep Extreme Cut; Connected extreme points; Iterative relaxation
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: Proceedings
- Conference titles: International Conference on Discrete Geometry and Mathematical Morphology - DGMM
- Status:
- Nenhuma versão em acesso aberto identificada
-
ABNT
OLIVEIRA, Débora Emili Costa e DEMARIO, Caio Lopes e MIRANDA, Paulo André Vechiatto de. Image segmentation by relaxed deep extreme cut with connected extreme points. 2021, Anais.. Cham: Springer, 2021. Disponível em: https://doi.org/10.1007/978-3-030-76657-3_32. Acesso em: 17 mar. 2026. -
APA
Oliveira, D. E. C., Demario, C. L., & Miranda, P. A. V. de. (2021). Image segmentation by relaxed deep extreme cut with connected extreme points. In Proceedings. Cham: Springer. doi:10.1007/978-3-030-76657-3_32 -
NLM
Oliveira DEC, Demario CL, Miranda PAV de. Image segmentation by relaxed deep extreme cut with connected extreme points [Internet]. Proceedings. 2021 ;[citado 2026 mar. 17 ] Available from: https://doi.org/10.1007/978-3-030-76657-3_32 -
Vancouver
Oliveira DEC, Demario CL, Miranda PAV de. Image segmentation by relaxed deep extreme cut with connected extreme points [Internet]. Proceedings. 2021 ;[citado 2026 mar. 17 ] Available from: https://doi.org/10.1007/978-3-030-76657-3_32 - Relaxed oriented image foresting transform for seeded image segmentation
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