| Color image segmentation using automatic thresholding and the fuzzy C-means techniques SB Chaabane, M Sayadi, F Fnaiech, E Brassart MELECON 2008-The 14th IEEE Mediterranean Electrotechnical Conference, 857-861, 2008 | 50 | 2008 |
| Colour image segmentation using homogeneity method and data fusion techniques S Ben Chaabane, M Sayadi, F Fnaiech, E Brassart EURASIP Journal on Advances in Signal Processing 2010, 1-11, 2009 | 40 | 2009 |
| Face recognition based on statistical features and SVM classifier SB Chaabane, M Hijji, R Harrabi, H Seddik Multimedia Tools and Applications 81 (6), 8767-8784, 2022 | 37 | 2022 |
| Dempster-Shafer evidence theory for image segmentation: application in cells images SB Chaabane, M Sayadi, F Fnaiech, E Brassart International Journal of Computer and Information Engineering 3 (11), 2648-2654, 2009 | 35 | 2009 |
| Color image segmentation based on Dempster-Shafer evidence theory SB Chaabane, M Sayadi, F Fnaiech, E Brassart MELECON 2008-The 14th IEEE Mediterranean Electrotechnical Conference, 862-866, 2008 | 26 | 2008 |
| Color edges extraction using statistical features and automatic threshold technique: application to the breast cancer cells S Ben Chaabane, F Fnaiech Biomedical engineering online 13, 1-18, 2014 | 19 | 2014 |
| Relevance of the Dempster-Shafer evidence theory for image segmentation SB Chaabane, F Fnaiech, M Sayadi, E Brassart 2009 3rd International Conference on Signals, Circuits and Systems (SCS), 1-4, 2009 | 10 | 2009 |
| Estimation of the mass function in the Dempster-Shafer’s evidence theory using automatic thresholding for color image segmentation SB Chaabane, F Fnaiech, M Sayadi, E Brassart 2008 2nd International Conference on Signals, Circuits and Systems, 1-5, 2008 | 8 | 2008 |
| A New Method for the Estimation of Mass Functions in the Dempster–Shafer’s Evidence Theory: Application to Colour Image Segmentation S Ben Chaabane, M Sayadi, F Fnaiech, E Brassart, F Betin Circuits, Systems, and Signal Processing 30, 55-71, 2011 | 6 | 2011 |
| Face recognition based on convolution neural network and scale invariant feature transform J ALAMRI, R HARRABI, SBEN CHAABANE International Journal of Advanced Computer Science and Applications 12 (2), 2021 | 5 | 2021 |
| Color Edge Detection Using Multidirectional Sobel Filter and Fuzzy Fusion slim ben chaabane CMC JOURNAL 120 (2022), 11, 2022 | 2 | 2022 |
| A new method based on evidence theory and fuzzy clustering for the breast cancer cells images segmentation SBEN CHAABANE International Journal of Scientific & Engineering Research, 2017 | 2 | 2017 |
| A Hybrid Technique for Color Image Segmentation: Application to the Fire Forest Images SB Chaabane, M Bouchouicha, F Fnaiech Int J Sci Eng Res (IJSER), 2015 | 2 | 2015 |
| Iris Recognition Based on Multilevel Thresholding Technique and Modified Fuzzy c-Means Algorithm. SB Chaabane, R Harrabi, A Bushnag, H Seddik Journal of Artificial Intelligence (2579-0021) 4 (4), 2022 | 1 | 2022 |
| Color Image Segmentation Using Fuzzy Clustering and Fusion: Application to Biomedical Images, SBEN CHAABANE ijraset, 2018., 2018 | 1 | 2018 |
| Edge detection via statistical features and automatic thresholding technique SB Chaabane, M Sayadi, F Fnaiech Scientific Research and Essays 8 (3), 139-151, 2013 | 1 | 2013 |
| Color image segmentation using the Dempster-Shafer evidence theory for the fusion of uncertain information sources SB Chaabane, M Sayadi, F Fnaiech, E Brassart International Journal of Sciences and Techniques of Automatic control …, 2008 | 1 | 2008 |
| A 3D Processing Technique to Detect Lung Tumor N Elloumi, SB CHAABANE, H SEDDIK, T Nadra International Journal of Advanced Computer Science and Applications 14 (6), 2023 | | 2023 |
| Facial Expression Recognition System Based on SVM and HOG Techniques S Rajaa, R Harrabi, SB Chaabane International Journal of Image Processing (IJIP) 15 (2), 14, 2021 | | 2021 |
| Modified anisotropic filtering and multi-level thresholding for image segmentation, IJSER 2018., 2018 | | 2018 |
Farhat FnaiechProfessor of Electrical Engineering, University of TunisVerified email at ieee.org
