Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Jonathan Cepeda-Negrete"'
Autor:
Edgar F. Duque-Vazquez, Raul E. Sanchez-Yanez, Noe Saldaña-Robles, Ma. Fabiola León-Galván, Jonathan Cepeda-Negrete
Publikováno v:
Heliyon, Vol 10, Iss 5, Pp e26520- (2024)
Computational cell segmentation is a vital area of research, particularly in the analysis of images of cancer cells. The use of cell lines, such as the widely utilized HeLa cell line, is crucial for studying cancer. While deep learning algorithms hav
Externí odkaz:
https://doaj.org/article/32e4b7456c554f299613f6ed103789f7
Autor:
Emmanuel Ovalle-Magallanes, Noe G. Aldana-Murillo, Juan Gabriel Avina-Cervantes, Jose Ruiz-Pinales, Jonathan Cepeda-Negrete, Sergio Ledesma
Publikováno v:
IEEE Access, Vol 9, Pp 6868-6877 (2021)
Autonomous robot visual navigation is a fundamental locomotion task based on extracting relevant features from images taken from the surrounded environment to control an independent displacement. In the navigation, the use of a known visual map helps
Externí odkaz:
https://doaj.org/article/07c11436d0154ba587b7e75a09ed4906
Autor:
Rocio A. Lizarraga-Morales, Fernando E. Correa-Tome, Raul E. Sanchez-Yanez, Jonathan Cepeda-Negrete
Publikováno v:
IEEE Access, Vol 7, Pp 18042-18049 (2019)
The quality assurance of fabrics is a fundamental issue in the textile manufacturing industry. Automatic and accurate detection of defects is one of the most important and challenging tasks in order to guarantee the quality of fabrics. In this paper,
Externí odkaz:
https://doaj.org/article/ab2f484edfdc4329a403f2dbc2b9c734
Autor:
Jonathan Cepeda-Negrete, Raul E. Sanchez-Yanez, Fernando E. Correa-Tome, Rocio A. Lizarraga-Morales
Publikováno v:
IEEE Access, Vol 6, Pp 14935-14945 (2018)
In this paper, we introduce an image enhancing approach for transforming dark images into lightened scenes, and we evaluate such method in different perceptual color spaces, in order to find the best-suited for this particular task. Specifically, we
Externí odkaz:
https://doaj.org/article/6bce24d631164e0ca4e9ad2362668cdc
Publikováno v:
IEEE Access, Vol 5, Pp 15390-15399 (2017)
This paper represents a twofold approach. On the one hand, we introduce a simple method that encompasses an ensemble of image processing algorithms with a multilevel color transfer approach at its core. On the other hand, the method is applied for pr
Externí odkaz:
https://doaj.org/article/d5a6a3c512d844329732ce54bed9e45d
Autor:
Socorro Morales-Flores, Jonathan Cepeda-Negrete, Gerardo Mata-Montes de Oca, Arturo Ángel-Hernández, Jesús Hernández-Ruiz, Jorge Eric Ruiz-Nieto
Publikováno v:
Agrociencia.
The consumption of edible fungi has increased worldwide due to its nutritional and functional properties. In the state of Guanajuato, Mexico, the production of these fungi depends on the import of strains from different species. This is due to a lack
Autor:
Noe G. Aldana-Murillo, Emmanuel Ovalle-Magallanes, Juan Gabriel Avina-Cervantes, Jonathan Cepeda-Negrete, Jose Ruiz-Pinales, Sergio Ledesma
Publikováno v:
IEEE Access, Vol 9, Pp 6868-6877 (2021)
Autonomous robot visual navigation is a fundamental locomotion task based on extracting relevant features from images taken from the surrounded environment to control an independent displacement. In the navigation, the use of a known visual map helps
Autor:
Rocio A. Lizarraga-Morales, Fernando E. Correa-Tome, Raul E. Sanchez-Yanez, Jonathan Cepeda-Negrete
Publikováno v:
IEEE Access, Vol 6, Pp 14935-14945 (2018)
In this paper, we introduce an image enhancing approach for transforming dark images into lightened scenes, and we evaluate such method in different perceptual color spaces, in order to find the best-suited for this particular task. Specifically, we
Publikováno v:
Applied Soft Computing. 28:1-10
Graphical abstractDisplay Omitted HighlightsA fuzzy rule-based system operates as a selector of color constancy algorithms.The system selects among the White-Patch, Gray-World and Gray-Edge algorithms.The method attains a high rate of correct selecti
Autor:
Claire Chalopin, Elisee Ilunga-Mbuyamba, Mario Alberto Ibarra-Manzano, Juan Gabriel Avina-Cervantes, Jonathan Cepeda-Negrete
Publikováno v:
Computers in biology and medicine. 91
Brain tumor segmentation is a routine process in a clinical setting and provides useful information for diagnosis and treatment planning. Manual segmentation, performed by physicians or radiologists, is a time-consuming task due to the large quantity