| 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 | 74 | 2021 |
| 3D texture feature extraction and classification using GLCM and LBP-based descriptors S Barburiceanu, R Terebes, S Meza Applied Sciences 11 (5), 2332, 2021 | 49 | 2021 |
| 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 | 26 | 2005 |
| Mixed anisotropic diffusion R Terebes, O Lavialle, P Baylou, M Borda 2002 International Conference on Pattern Recognition 3, 760-763, 2002 | 26 | 2002 |
| 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 | 24 | 2004 |
| 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 | 23 | 2012 |
| Low-complexity PDE-based approach for automatic microarray image processing B Belean, R Terebes, A Bot Medical & biological engineering & computing 53, 99-110, 2015 | 20 | 2015 |
| 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 | 19 | 2008 |
| 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 | 18 | 2009 |
| 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 | 16 | 2020 |
| 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 | 15 | 2022 |
| 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 | 15 | 2020 |
| 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 | 14 | 2019 |
| 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 | 14 | 2016 |
| 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 | 13 | 2015 |
| Camera phone based barcode decoding system R Terebes, O Lahlou, R Enseirb ACTA Technica Napocensis 49 (3), 57-62, 2008 | 13 | 2008 |
| Diffusion directionnelle: applications à la restauration et à l'amélioration d'images de documents anciens RM Terebes | 13 | 2004 |
| Directional anisotropic diffusion R Terebes, O Lavialle, P Baylou, M Borda 2002 11th European Signal Processing Conference, 1-4, 2002 | 13 | 2002 |
| 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 | 12 | 2012 |
| A PDE-based approach for image fusion S Pop, O Lavialle, R Terebes, M Borda Advanced Concepts for Intelligent Vision Systems: 9th International …, 2007 | 12 | 2007 |
Malutan Emil RaulAsoc.prof., PhD Eng., Technical University of Cluj-Napoca, Romania在 com.utcluj.ro 的电子邮件经过验证
