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Autores
Orientador(es)
Resumo(s)
In this paper we propose a procedural approach to the problem of image segmentation. This procedural approach may be parameterized with optimized values for a specific type of data. It uses an algorithm which is inspired by the superposition principle of Quantum Mechanics, in the sense that each particular pixel has a certain probability of being of a certain type (boundary, interior, exterior or noise) and only when an observation is made, by means of choosing a designated threshold value,
it gets a concrete state. The procedure is applied to a particular example of vessels network and we determine its maximum length dividing the total area by an average vessel thickness.
Descrição
Palavras-chave
Image segmentation superposition principle total length of a networkwith average constant thickness
Contexto Educativo
Citação
Nelson Martins-Ferreira, An Image Segmentation Procedure Based on the Superposition Principle of Quantum Mechanics, Procedia Manufacturing, Volume 12, 2017, Pages 249-262, ISSN 2351-9789, https://doi.org/10.1016/j.promfg.2017.08.029
Editora
Elsevier BV
