Efficient connected alternating sequential filters based on component trees (2025)
- Authors:
- USP affiliated authors: HASHIMOTO, RONALDO FUMIO - IME ; SILVA, DÊNNIS JOSÉ DA - IME ; MORIMITSU, ALEXANDRE - IME
- Unidade: IME
- Subjects: ESTRUTURAS DE DADOS; OPERADORES E COMPILADORES; ALGORITMOS
- Keywords: Árvores de componentes
- Language: Inglês
- Imprenta:
- Source:
- Título: Discrete Geometry and Mathematical Morphology. DGMM 2025. Lecture Notes in Computer Science
- Volume/Número/Paginação/Ano: a ser publicado em novembro de 2025
- Conference titles: International Conference on Discrete Geometry and Mathematical Morphology - DGMM
-
ABNT
ALVES, Wonder Alexandre Luz et al. Efficient connected alternating sequential filters based on component trees. Discrete Geometry and Mathematical Morphology. DGMM 2025. Lecture Notes in Computer Science. Cham: Springer. . Acesso em: 04 ago. 2025. , 2025 -
APA
Alves, W. A. L., Passat, N., Silva, D. J. da, Morimitsu, A., & Hashimoto, R. F. (2025). Efficient connected alternating sequential filters based on component trees. Discrete Geometry and Mathematical Morphology. DGMM 2025. Lecture Notes in Computer Science. Cham: Springer. -
NLM
Alves WAL, Passat N, Silva DJ da, Morimitsu A, Hashimoto RF. Efficient connected alternating sequential filters based on component trees. Discrete Geometry and Mathematical Morphology. DGMM 2025. Lecture Notes in Computer Science. 2025 ;[citado 2025 ago. 04 ] -
Vancouver
Alves WAL, Passat N, Silva DJ da, Morimitsu A, Hashimoto RF. Efficient connected alternating sequential filters based on component trees. Discrete Geometry and Mathematical Morphology. DGMM 2025. Lecture Notes in Computer Science. 2025 ;[citado 2025 ago. 04 ] - Ultimate levelings with strategy for filtering undesirable residues based on machine learning
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