Follow
Karim Tout
Karim Tout
Technical Lead - Computer Vision / Machine Learning at Uqudo
Verified email at uqu.do
Title
Cited by
Cited by
Year
Automated vision system for magnetic particle inspection of crankshafts using convolutional neural networks
K Tout, A Meguenani, JP Urban, C Cudel
The International Journal of Advanced Manufacturing Technology 112, 3307-3326, 2021
262021
Automatic vision system for surface inspection and monitoring: Application to wheel inspection
K Tout
Troyes, 2018
82018
Automatic vision system for wheel surface inspection and monitoring
K Tout, F Retraint, R Cogranne
ASNT Annual Conference 2017, 207-216, 2017
82017
Fully automatic detection of anomalies on wheels surface using an adaptive accurate model and hypothesis testing theory
K Tout, R Cogranne, F Retraint
2016 24th European Signal Processing Conference (EUSIPCO), 508-512, 2016
82016
Automated vision system for crankshaft inspection using deep learning approaches
K Tout, M Bouabdellah, C Cudel, JP Urban
Fourteenth International Conference on Quality Control by Artificial Vision …, 2019
42019
Statistical decision methods in the presence of linear nuisance parameters and despite imaging system heteroscedastic noise: Application to wheel surface inspection
K Tout, R Cogranne, F Retraint
Signal Processing 144, 430-443, 2018
42018
Non-stationary process monitoring for change-point detection with known accuracy: Application to wheels coating inspection
K Tout, F Retraint, R Cogranne
IEEE Access 6, 6709-6721, 2018
42018
Deflectometry based on light-field imaging
A Meguenani, K Tout, S Kohler, S Bazeille, JP Chambard, C Cudel
Fifteenth International Conference on Quality Control by Artificial Vision …, 2021
22021
Wheels coating process monitoring in the presence of nuisance parameters using sequential change-point detection method
K Tout, F Retraint, R Cogranne
2017 25th European Signal Processing Conference (EUSIPCO), 196-200, 2017
22017
A scanning deflectometry scheme for online defect detection and 3-D reconstruction of specular reflective materials
S Bazeille, A Meguenani, K Tout, S Kohler, O Jrad, JP Chambard, ...
The International Journal of Advanced Manufacturing Technology, 1-15, 2024
2024
Automated defect detection on inductive thermography images using supervised and semi-supervised Deep Learning methods
K Tout, N Samet, P Bouteille
The system can't perform the operation now. Try again later.
Articles 1–11