Zobrazeno 1 - 7
of 7
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
Publikováno v:
Gaceta de la Real Sociedad Matematica Espanola; 2020, Vol. 23 Issue 1, p19-32, 14p
Autor:
Joaquim Filipe, Juha Röning
This volume constitutes the proceedings of the 4th International Conference on Robotics, Computer Vision and Intelligent Systems, ROBOVIS 2024, which was held in Rome, Italy, during February 25-27, 2024. The 8 full papers and 21 short papers are pres