Browsing by author "Usamentiaga Fernández, Rubén"

A Configuration Approach for Convolutional Neural Networks Used for Defect Detection on Surfaces

García Martínez, Daniel Fernando

; García, Iván; Calle Herrero, Francisco Javier de la

; Usamentiaga Fernández, Rubén

(2018)

Adquisición, mejora y segmentación de imágenes termográficas en tiempo real

Usamentiaga Fernández, Rubén

(2005-07-04)

Advances in RGB Projection Technique for Thermographic NDT: Channels Selection Criteria and Visualization Improvement

Venegas, P.; Usamentiaga Fernández, Rubén

; Perán, J.; Sáez de Ocáriz, Idurre (2018)

Algorithms for real-time acquisition and segmentation of a stream of thermographic line scans in industrial environments

Usamentiaga Fernández, Rubén

; García Martínez, Daniel Fernando

; López Menéndez, Carlos

; González, Juan A. (Society for Imaging Science and Technology, 2005)

Application of Deep Learning in Infrared Non-Destructive Testing

Yousefi, Bardia; Kalhor, Davood; Usamentiaga Fernández, Rubén

; Lei, Lei; Castanedo, Clemente Ibarra; Maldague, Xavier P. V. (2018)

Application of thermographic analysis for the detection of longitudinal defects in cold mills

González Rodríguez, Juan Antonio

; Obeso Carrera, Faustino Emilio

; García Martínez, Daniel Fernando

; Usamentiaga Fernández, Rubén

; Falessi, R. (EDP Sciences, 2002)

Automated dynamic inspection using active infrared thermography

Usamentiaga Fernández, Rubén

; Mokhtari, Yacine; Ibarra Castanedo, Clemente; Klein, Matthieu; Genest, Marc; Maldague, Xabier (2018)

Automated virtual gauges for dimensional quality control

Usamentiaga Fernández, Rubén

; García Martínez, Daniel Fernando

; Calle Herrero, Francisco Javier de la

(2020)

Automated virtual gauges for dimensional quality control

Usamentiaga Fernández, Rubén

; García Martínez, Daniel Fernando

; Calle Herrero, Francisco Javier de la

(2021)

Automatic detection of impact damage in carbon fiber composites using active thermography

Usamentiaga Fernández, Rubén

; Venegas Bosom, Pablo; Guerediaga, Jon; Vega, Laura; López, Ion (2013)

Automatic tuning for the segmentation of infrared images considering uncertain ground truth

Usamentiaga Fernández, Rubén

; García Martínez, Daniel Fernando

; Molleda Meré, Julio

(2009)

Calibrating a profile measurement system for dimensional inspection in rail rolling mills

Fernández Millara, Álvaro

; Molleda Meré, Julio

; Usamentiaga Fernández, Rubén

; García Martínez, Daniel Fernando

(2021)

Clasificación de defectos periódicos en sistemas de inspección basados en visión por computador

González Bulnes, Francisco

(Universidad de Oviedo, 2012)

Comparing temperature measurement using infrared line scanners and the wedge method

Usamentiaga Fernández, Rubén

; García Martínez, Daniel Fernando

; Molleda Meré, Julio

; González Bulnes, Francisco

; Pérezy, J. M. (2010)

Comparison and evaluation of geometric calibration methods for infrared cameras to perform metric measurements on a plane

Usamentiaga Fernández, Rubén

; Ibarra Castanedo, C.; Maldague, X. (2018)

Computers and Networks

Entrialgo Castaño, Joaquín

; Granda Candás, Juan Carlos

; López López, José María

; Molleda Meré, Julio

; Arias García, José Ramón

; Usamentiaga Fernández, Rubén

; García Vázquez, Manuel

; Díaz de Arriba, José Luis

(Servicio de Publicaciones de la Universidad de Oviedo, 2018)

Cost-performance evaluation of a recognition service of livestock activity using aerial images

González Lema, Darío; Pedrayes González, Joaquín Francisco

; Usamentiaga Fernández, Rubén

; García Martínez, Daniel Fernando

; Alonso Fernández, Ángela (2021)

Defect detection based on monogenic signal processing

Fleuret, J.; Ibarra Castanedo, C.; Lei, L.; Sfarra, S.; Usamentiaga Fernández, Rubén

; Maldague, X. (2019)

Desarrollo de un sistema de detección de incendios mediante drones: un caso de aprendizaje basado en proyectos en el marco de un proyecto coordinado en un Máster Universitario en Ingeniería Informática

Usamentiaga Fernández, Rubén

; Suárez Alonso, Francisco José

; Tuya González, Pablo Javier

; Suárez Cabal, María José

; Corcoba Magaña, Víctor

; García Martínez, Javier

; Granda Candás, Juan Carlos

; Molleda Meré, Julio

; Puente Peinador, Jorge

(Universidad de Oviedo, 2018)

Detection of periodical patterns in the defects identified by computer vision systems

González Bulnes, Francisco

; Usamentiaga Fernández, Rubén

; García Martínez, Daniel Fernando

; Molleda Meré, Julio

(IEEE, 2011)

Browsing by author "Usamentiaga Fernández, Rubén"

A Configuration Approach for Convolutional Neural Networks Used for Defect Detection on Surfaces ﻿

Adquisición, mejora y segmentación de imágenes termográficas en tiempo real ﻿

Advances in RGB Projection Technique for Thermographic NDT: Channels Selection Criteria and Visualization Improvement ﻿

Algorithms for real-time acquisition and segmentation of a stream of thermographic line scans in industrial environments ﻿

Application of Deep Learning in Infrared Non-Destructive Testing ﻿

Application of thermographic analysis for the detection of longitudinal defects in cold mills ﻿

Automated dynamic inspection using active infrared thermography ﻿

Automated virtual gauges for dimensional quality control ﻿

Automated virtual gauges for dimensional quality control ﻿

Automatic detection of impact damage in carbon fiber composites using active thermography ﻿

Automatic tuning for the segmentation of infrared images considering uncertain ground truth ﻿

Calibrating a profile measurement system for dimensional inspection in rail rolling mills ﻿

Clasificación de defectos periódicos en sistemas de inspección basados en visión por computador ﻿

Comparing temperature measurement using infrared line scanners and the wedge method ﻿

Comparison and evaluation of geometric calibration methods for infrared cameras to perform metric measurements on a plane ﻿

Computers and Networks ﻿

Cost-performance evaluation of a recognition service of livestock activity using aerial images ﻿

Defect detection based on monogenic signal processing ﻿

Desarrollo de un sistema de detección de incendios mediante drones: un caso de aprendizaje basado en proyectos en el marco de un proyecto coordinado en un Máster Universitario en Ingeniería Informática ﻿

Detection of periodical patterns in the defects identified by computer vision systems ﻿

A Configuration Approach for Convolutional Neural Networks Used for Defect Detection on Surfaces

Adquisición, mejora y segmentación de imágenes termográficas en tiempo real

Advances in RGB Projection Technique for Thermographic NDT: Channels Selection Criteria and Visualization Improvement

Algorithms for real-time acquisition and segmentation of a stream of thermographic line scans in industrial environments

Application of Deep Learning in Infrared Non-Destructive Testing

Application of thermographic analysis for the detection of longitudinal defects in cold mills

Automated dynamic inspection using active infrared thermography

Automated virtual gauges for dimensional quality control

Automated virtual gauges for dimensional quality control

Automatic detection of impact damage in carbon fiber composites using active thermography

Automatic tuning for the segmentation of infrared images considering uncertain ground truth

Calibrating a profile measurement system for dimensional inspection in rail rolling mills

Clasificación de defectos periódicos en sistemas de inspección basados en visión por computador

Comparing temperature measurement using infrared line scanners and the wedge method

Comparison and evaluation of geometric calibration methods for infrared cameras to perform metric measurements on a plane

Computers and Networks

Cost-performance evaluation of a recognition service of livestock activity using aerial images

Defect detection based on monogenic signal processing

Desarrollo de un sistema de detección de incendios mediante drones: un caso de aprendizaje basado en proyectos en el marco de un proyecto coordinado en un Máster Universitario en Ingeniería Informática

Detection of periodical patterns in the defects identified by computer vision systems