An extension of the differential image foresting transform and its application to superpixel generation (2020)
- Authors:
- USP affiliated authors: MIRANDA, PAULO ANDRE VECHIATTO DE - IME ; CONDORI, MARCOS ADEMIR TEJADA - IME
- Unidade: IME
- DOI: 10.1016/j.jvcir.2019.102748
- Assunto: VISÃO COMPUTACIONAL
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: Journal of Visual Communication and Image Representation
- ISSN: 1047-3203
- Volume/Número/Paginação/Ano: v. 71, art. 102748, 2020
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
CONDORI, Marcos Ademir Tejada et al. An extension of the differential image foresting transform and its application to superpixel generation. Journal of Visual Communication and Image Representation, v. 71, 2020Tradução . . Disponível em: https://doi.org/10.1016/j.jvcir.2019.102748. Acesso em: 22 jan. 2026. -
APA
Condori, M. A. T., Cappabianco, F. A. M., Falcão, A. X., & Miranda, P. A. V. de. (2020). An extension of the differential image foresting transform and its application to superpixel generation. Journal of Visual Communication and Image Representation, 71. doi:10.1016/j.jvcir.2019.102748 -
NLM
Condori MAT, Cappabianco FAM, Falcão AX, Miranda PAV de. An extension of the differential image foresting transform and its application to superpixel generation [Internet]. Journal of Visual Communication and Image Representation. 2020 ; 71[citado 2026 jan. 22 ] Available from: https://doi.org/10.1016/j.jvcir.2019.102748 -
Vancouver
Condori MAT, Cappabianco FAM, Falcão AX, Miranda PAV de. An extension of the differential image foresting transform and its application to superpixel generation [Internet]. Journal of Visual Communication and Image Representation. 2020 ; 71[citado 2026 jan. 22 ] Available from: https://doi.org/10.1016/j.jvcir.2019.102748 - Differential oriented image foresting transform and its applications to support high-level priors for object segmentation
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- Riverbed: a novel user-steered image segmentation method based on optimum boundary tracking
- Oriented relative fuzzy connectedness: theory, algorithms, and applications in image segmentation
- IFT-SLIC: a general framework for superpixel generation based on simple linear iterative clustering and image foresting transform
- Oriented image foresting transform segmentation by seed competition
- A supervoxel-based solution to resume segmentation for interactive correction by differential image-foresting transforms
Informações sobre o DOI: 10.1016/j.jvcir.2019.102748 (Fonte: oaDOI API)
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