Zobrazeno 1 - 10
of 47
pro vyhledávání: '"B. Ojeda-Magaña"'
Publikováno v:
Journal of Technology and Innovation. :9-19
Computed Tomography imaging is a non-invasive alternative to observe soil structures, mainly the pore space. The porous space corresponds in the image of the soil to an empty or free space in the sense that there is no material present but only fluid
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a6eb9c364e24c266f7a350815cba6add
https://doi.org/10.35429/jti.2021.22.8.9.19
https://doi.org/10.35429/jti.2021.22.8.9.19
Publikováno v:
IEEE Latin America Transactions. 18:1614-1622
This paper presents the design of an artificial vision system prototype for automatic inspection and monitoring of objects over a conveyor belt and using a Smart camera 2D BOA-INS. The prototype consists of a conveyor belt and an embedded system base
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::24df98109bc68568d642d0f3ec73c8a8
https://doi.org/10.1109/tla.2020.9381804
https://doi.org/10.1109/tla.2020.9381804
Autor:
R. Ruelas, J.G. Robledo-Hernández, Craig J. Sturrock, Ana M. Tarquis, Sacha J. Mooney, J. Quintanilla-Dominguez, B. Ojeda-Magaña
Publikováno v:
Applied Mathematical Modelling. 85:360-377
In this study, we scanned the core of a cylindrical soil sample (60mm diameter and 100mm height) by X-ray Computed Tomography (CT) producing 300 consecutive 2D digital images with 16-bit gray level depth and a resolution of 32 microns (image size 676
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d347224c34ffde0553860a7fb296945e
https://doi.org/10.1016/j.apm.2020.04.021
https://doi.org/10.1016/j.apm.2020.04.021
Publikováno v:
European Journal of Soil Science. 70:66-82
X‐ray computer tomography (CT) is a non‐invasive technique for image acquisition. Recent technological advances have enabled reliable and high‐resolution images to be obtained. In soil samples, for example, this subserves the identification of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1f1cec054874a1752a340cb17a141904
https://doi.org/10.1111/ejss.12728
https://doi.org/10.1111/ejss.12728
Autor:
R. Guzmán Cabrera, M. Cano Contreras, B. Ojeda Magaña, J. M. Barrón Adame, E. García Sánchez, J. Quintanilla Domínguez, M. S. Acosta Navarrete
Publikováno v:
Computación y Sistemas. 23
This paper presents a threshold color image segmentation methodology based on Self-Organizing Maps (SOM) Neural Network. The objective of segmentation methodology is to determine the minimum number of color features in six seed lines ("nh1", "nh2", "
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a2088a8020c2697e9c482619cf909d89
https://doi.org/10.13053/cys-23-1-3141
https://doi.org/10.13053/cys-23-1-3141
Autor:
R. Ruelas, J.G. Robledo-Hernández, J. Quintanilla-Dominguez, Ana M. Tarquis, B. Ojeda-Magaña, L. Gómez-Barba, J. López de Herrera
Publikováno v:
Computers and Electronics in Agriculture. 172:105289
The acorn is the fruit of oak trees and is an important crop in the Spanish dehesa extremena because of the value it provides to feeding Iberian pigs to obtain the “acorn-fed” certification. For this reason, it is desirable to maximise production
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6c8dde5e5e364c5af98dcf792eaf168b
https://doi.org/10.1016/j.compag.2020.105289
https://doi.org/10.1016/j.compag.2020.105289
Autor:
R. Ruelas, Diego Andina, J. Quintanilla-Dominguez, L. Gómez-Barba, Ana M. Tarquis, B. Ojeda-Magaña
Publikováno v:
Geoderma, ISSN 0016-7061, 2014-04, Vol. 217
Archivo Digital UPM
instname
Archivo Digital UPM
instname
Recent advances in non-destructive imaging techniques, such as X-ray computed tomography (CT), make it possible to analyse pore space features from the direct visualisation from soil structures. A quantitative characterisation of the three-dimensiona
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::adfeebd2dcebedd9ddbccce9c86152be
https://doi.org/10.1016/j.geoderma.2013.11.005
https://doi.org/10.1016/j.geoderma.2013.11.005
Autor:
B. Ojeda-Magaña, J. M. Barrón-Adame, Alexis Marcano-Cedeño, A. Vega-Corona, J. Quintanilla-Dominguez, Diego Andina
Publikováno v:
International Journal of Intelligent Computing in Medical Sciences & Image Processing. 5:161-174
This paper presents a novel method for the automatic detection of microcalcifications in regions of interest images. Automatic detection method is implemented by feature extraction and sub-segmentation steps. The feature extraction step is improved u
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bf6988364d329b02e29bd19ba427f27e
https://doi.org/10.1080/1931308x.2013.838070
https://doi.org/10.1080/1931308x.2013.838070
Autor:
Diego Andina, R. Ruelas, A. Vega-Corona, M. G. Cortina-Januchs, J. Quintanilla-Dominguez, B. Ojeda-Magaña
Publikováno v:
Scientia Iranica. 18:580-589
Breast cancer is one of the leading causes of female mortality in the world, and early detection is an important means of reducing the mortality rate. The presence of microcalcification clusters has been considered as a very important indicator of ma
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::df25d87c155f6ed3a80f868ac6aad713
https://doi.org/10.1016/j.scient.2011.04.009
https://doi.org/10.1016/j.scient.2011.04.009
Improvement of the Image Sub-Segmentation for Identification and Differentiation of Atypical Regions
Publikováno v:
International Journal of Pattern Recognition and Artificial Intelligence. 32:1860011
A new sub-segmentation method has been proposed in 2009 which, in digital images, help us to identify the typical pixels, as well as the less representative pixels or atypical of each segmented region. This method is based on the Possibilistic Fuzzy
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::857ed13aa7c5e4694d743414ed5ad7ea
https://doi.org/10.1142/s021800141860011x
https://doi.org/10.1142/s021800141860011x