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Terebes Romulus
Terebes Romulus
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Année
Convolutional neural networks for texture feature extraction. Applications to leaf disease classification in precision agriculture
S Barburiceanu, S Meza, B Orza, R Malutan, R Terebes
IEEE Access 9, 160085-160103, 2021
572021
3D texture feature extraction and classification using GLCM and LBP-based descriptors
S Barburiceanu, R Terebes, S Meza
Applied Sciences 11 (5), 2332, 2021
452021
Mixed anisotropic diffusion
R Terebes, O Lavialle, P Baylou, M Borda
2002 International Conference on Pattern Recognition 3, 760-763, 2002
272002
Flow coherence diffusion. Linear and nonlinear case
T Romulus, O Lavialle, M Borda, P Baylou
International Conference on Advanced Concepts for Intelligent Vision Systems …, 2005
262005
A new PDE based approach for image restoration and enhancement using robust diffusion directions and directional derivatives based diffusivities
R Terebes, M Borda, Y Baozong, O Lavialle, P Baylou
Proceedings 7th International Conference on Signal Processing, 2004 …, 2004
252004
FPGA based system for automatic cDNA microarray image processing
B Belean, M Borda, B Le Gal, R Terebes
Computerized Medical Imaging and Graphics 36 (5), 419-429, 2012
232012
Low-complexity PDE-based approach for automatic microarray image processing
B Belean, R Terebes, A Bot
Medical & biological engineering & computing 53, 99-110, 2015
202015
A PDE-based approach to three-dimensional seismic data fusion
S Pop, O Lavialle, M Donias, R Terebes, M Borda, S Guillon, N Keskes
IEEE transactions on geoscience and remote sensing 46 (5), 1385-1393, 2008
192008
Image enhancement using a new shock filter formalism
C LUDUŞAN, O Lavialle, S Pop, R Terebeş, M Borda
Acta Technica Napocensis, Electronics and Telecommunications 50 (3), 27-30, 2009
182009
On spectral-spatial classification of hyperspectral images using image denoising and enhancement techniques, wavelet transforms and controlled data set partitioning
AV Miclea, RM Terebes, S Meza, M Cislariu
Remote Sensing 14 (6), 1475, 2022
142022
Grape leaf disease classification using LBP-derived texture operators and colour
S Barburiceanu, R Terebes, S Meza
2020 IEEE International Conference on Automation, Quality and Testing …, 2020
142020
One dimensional convolutional neural networks and local binary patterns for hyperspectral image classification
AV Miclea, R Terebes, S Meza
2020 IEEE International Conference on Automation, Quality and Testing …, 2020
142020
An improved feature extraction method for texture classification with increased noise robustness
SR Barburiceanu, S Meza, C Germain, R Terebes
2019 27th European Signal Processing Conference (EUSIPCO), 1-5, 2019
142019
Texture image classification with Riemannian Fisher vectors
I Ilea, L Bombrun, C Germain, R Terebes, M Borda, Y Berthoumieu
2016 IEEE International Conference on Image Processing (ICIP), 3543-3547, 2016
142016
Diffusion directionnelle: applications à la restauration et à l'amélioration d'images de documents anciens
RM Terebes
Bordeaux 1, 2004
142004
Speckle noise removal in ultrasound images using sparse code shrinkage
R Măluţan, R Terebeş, C Germain, M Borda, M Cîşlariu
2015 E-Health and Bioengineering Conference (EHB), 1-4, 2015
132015
Directional anisotropic diffusion
R Terebes, O Lavialle, P Baylou, M Borda
2002 11th European Signal Processing Conference, 1-4, 2002
132002
Camera phone based barcode decoding system
R Terebes, O Lahlou, R Enseirb
ACTA Technica Napocensis 49 (3), 57-62, 2008
122008
A PDE-based approach for image fusion
S Pop, O Lavialle, R Terebes, M Borda
Advanced Concepts for Intelligent Vision Systems: 9th International …, 2007
122007
Time series analysis using wavelets and GJR-GARCH models
M Gherman, R Terebes, M Borda
2012 Proceedings of the 20th European Signal Processing Conference (EUSIPCO …, 2012
112012
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