Zobrazeno 1 - 10
of 106
pro vyhledávání: '"Francisco J. Gallegos Funes"'
Autor:
Blanca E. Carvajal-Gámez, Miguel A. Castillo-Martínez, Luis A. Castañeda-Briones, Francisco J. Gallegos-Funes, Manuel A. Díaz-Casco
Publikováno v:
Applied Sciences, Vol 14, Iss 14, p 6000 (2024)
Audio steganalysis has been little explored due to its complexity and randomness, which complicate the analysis. Audio files generate marks in the frequency domain; these marks are known as fingerprints and make the files unique. This allows us to di
Externí odkaz:
https://doaj.org/article/07500ccd6d574ab59692d623d3114988
Autor:
Rosa I Ramos-Arredondo, Blanca E Carvajal-Gámez, Diane Gendron, Francisco J Gallegos-Funes, Dante Mújica-Vargas, J B Rosas-Fernández
Publikováno v:
PLoS ONE, Vol 15, Iss 10, p e0237570 (2020)
Photo-identification (photo-id) is a method used in field studies by biologists to monitor animals according to their density, movement patterns and behavior, with the aim of predicting and preventing ecological risks. However, these methods can intr
Externí odkaz:
https://doaj.org/article/519b156d9fe6459594a99c908143f175
Publikováno v:
EURASIP Journal on Image and Video Processing, Vol 2018, Iss 1, Pp 1-14 (2018)
Abstract In this paper, we develop an extensive research on different types of grayscale images applying standard non local (NL)-means algorithm on different search and patch windows sizes to obtain optimal parameters where the values of criteria pea
Externí odkaz:
https://doaj.org/article/51d72ed243e44589a6a28e37fc676a60
Autor:
JEAN MARIE VIANNEY-KINANI, ALBERTO J. ROSALES-SILVA, FRANCISCO J. GALLEGOS-FUNES, ALFONSO ARELLANO
Publikováno v:
Dyna, Vol 81, Iss 183, Pp 148-157 (2014)
Un sistema de procesamiento de imágenes médicas robusto depende de una variedad de aspectos, incluyendo una mejora apropiada de la imagen, y una segmentación óptima. En este artículo se propone un algoritmo para facilitar la implementación de e
Externí odkaz:
https://doaj.org/article/9fabc3f7a4154dc7bbb0ca54178ec750
Publikováno v:
Entropy, Vol 21, Iss 4, p 401 (2019)
In this paper, we propose the local complexity estimation based filtering method in wavelet domain for MRI (magnetic resonance imaging) denoising. A threshold selection methodology is proposed in which the edge and detail preservation properties for
Externí odkaz:
https://doaj.org/article/249ecc15f9964d759ca1b907e65c7701
Autor:
Alberto J. Rosales-Silva, Jean Marie Vianney Kinani, Mario Dehesa‐González, Francisco J. Gallegos-Funes, Eduardo Ramos-Diaz
Publikováno v:
Color Research & Application. 45:825-836
Publikováno v:
Research in Computing Science. 147:89-98
Autor:
Jose H. Espina-Hernandez, Francisco J. Gallegos-Funes, Jose M. de-la-Rosa-Vazquez, Alberto Rosales
Publikováno v:
Vision Sensors and Edge Detection
Different classes of filters have been proposed for removing noise from gray scale and colour images (Astola & Kuosmanen, 1997; Bovik, 2000; Kotropoulos & Pitas, 2001). They are classified into several categories depending on specific applications. L
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2c9a6ef057077539f726629b3cf0b37b
http://www.intechopen.com/articles/show/title/video-colour-denoising-using-fuzzy-and-directional-techniques
http://www.intechopen.com/articles/show/title/video-colour-denoising-using-fuzzy-and-directional-techniques
Autor:
Francisco J. Gallegos-Funes, J. B. Rosas-Fernández, Blanca E. Carvajal-Gámez, Diane Gendron, Rosa I. Ramos-Arredondo, Dante Mújica-Vargas
Publikováno v:
PLoS ONE
PLoS ONE, Vol 15, Iss 10, p e0237570 (2020)
PLoS ONE, Vol 15, Iss 10, p e0237570 (2020)
Photo-identification (photo-id) is a method used in field studies by biologists to monitor animals according to their density, movement patterns and behavior, with the aim of predicting and preventing ecological risks. However, these methods can intr
Autor:
Eduardo Ramos Diaz, Dante Mújica-Vargas, Francisco J. Gallegos Funes, Alberto Jorge Rosales Silva, Jean Marie Vianney Kinani
Publikováno v:
Journal of medical systems. 45(4)
In this study we propose a novel correction scheme that filters Magnetic Resonance Images data, by using a modified Linear Minimum Mean Square Error (LMMSE) estimator which takes into account the joint information of the local features. A closed-form