Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Caio de Moraes Braz"'
Autor:
Caio de Moraes Braz
Publikováno v:
Biblioteca Digital de Teses e Dissertações da USPUniversidade de São PauloUSP.
Vários métodos tradicionais de segmentação de imagens, como a transformada de watershed de marcado- res e métodos de conexidade fuzzy (Relative Fuzzy Connectedness- RFC, Iterative Relative Fuzzy Connected- ness - IRFC), podem ser implementados d
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031198960
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b0cba679ce0664b46120352dab2c861b
https://doi.org/10.1007/978-3-031-19897-7_23
https://doi.org/10.1007/978-3-031-19897-7_23
Publikováno v:
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
Universidade de São Paulo (USP)
instacron:USP
The goal of this work is to describe an efficient algorithm for finding a binary segmentation of an image such that the indicated object satisfies a novel high-level prior, called local band, LB, constraint; the returned segmentation is optimal, with
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fa6d82120da314efd2d5e23a80ca2742
Publikováno v:
Discrete Geometry for Computer Imagery ISBN: 9783030140847
DGCI
DGCI
Shape constraints are potentially useful high-level priors for object segmentation, allowing the customization of the segmentation to a given target object. In this work, we present a novel shape constraint, named Local Band constraint (\({{\,\mathrm
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::934ef14e4951b143e7831388fe1c3340
https://doi.org/10.1007/978-3-030-14085-4_13
https://doi.org/10.1007/978-3-030-14085-4_13
Autor:
Caio de Moraes Braz
Publikováno v:
Biblioteca Digital de Teses e Dissertações da USP
Universidade de São Paulo (USP)
instacron:USP
Universidade de São Paulo (USP)
instacron:USP
Vários métodos tradicionais de segmentação de imagens, como a transformada de watershed de marcado- res e métodos de conexidade fuzzy (Relative Fuzzy Connectedness- RFC, Iterative Relative Fuzzy Connected- ness - IRFC), podem ser implementados d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::822d2486cf38bcac668f13ec52d87445
Publikováno v:
ICIP
In this work, we propose a novel boundary constraint, which we denote as the Geodesic Band Constraint (GBC), and we show how it can be efficiently incorporated into a subclass of the Generalized Graph Cut framework (GGC). We include a proof of the op
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::26d7ba89c76593dc2639137dc8bbbad1
https://doi.org/10.1109/icip.2014.7025880
https://doi.org/10.1109/icip.2014.7025880