Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Cristina Pérez-Benito"'
Publikováno v:
MethodsX, Vol 7, Iss , Pp 100819- (2020)
We present two new methods for simultaneous smoothing and sharpening of color images: the GMS3 (Graph Method for Simultaneous Smoothing and Sharpening) and the NGMS3(Normalized Graph-Method for Simultaneous Smoothing and Sharpening). They are based o
Externí odkaz:
https://doaj.org/article/738c7bceb53b48c2a813c623234a142f
Publikováno v:
Modelling in Science Education and Learning, Vol 11, Iss 1, Pp 5-14 (2018)
A model based on local graphs to classify pixels coming from at or detail regions of an image is presented. For each pixel a local graph is dened. Its structure will depend on the similarity between neighbouring pixels. Its features allow us to class
Externí odkaz:
https://doaj.org/article/15618df09e2941cd9239ee882de5c9f8
Publikováno v:
MethodsX, Vol 7, Iss, Pp 100819-(2020)
MethodsX
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname
MethodsX
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname
[EN] We present two new methods for simultaneous smoothing and sharpening of color images: the GMS(3) (Graph Method for Simultaneous Smoothing and Sharpening) and the NGMS(3)(Normalized Graph-Method for Simultaneous Smoothing and Sharpening). They ar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1bf764618e94e825efdf42b651896dc2
http://www.sciencedirect.com/science/article/pii/S221501612030039X
http://www.sciencedirect.com/science/article/pii/S221501612030039X
Autor:
Cristina Pérez Benito
Publikováno v:
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname
instname
[ES] La visión artificial es uno de los campos en mayor crecimiento en la actualidad que, junto con otras tecnologías como la Biometría o el Big Data, se ha convertido en el foco de interés de numerosas investigaciones y es considerada como una d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ad4372071de58aa96ff01ff4d5fd93d2
https://doi.org/10.4995/thesis/10251/123955
https://doi.org/10.4995/thesis/10251/123955
Publikováno v:
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname
instname
[EN] In this work we introduce an image characterization of pixels based on local graphs that allows to distinguish different local regions around a pixel. This separation also permits us to develop a method for determining the role of each pixel in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::54d33d329c7f67cd0fb4a405a56948c9