| Sonar image segmentation using an unsupervised hierarchical MRF model M Mignotte, C Collet, P Perez, P Bouthemy IEEE transactions on image processing 9 (7), 1216-1231, 2000 | 337 | 2000 |
| Deep learning for change detection in remote sensing images: Comprehensive review and meta-analysis L Khelifi, M Mignotte Ieee Access 8, 126385-126400, 2020 | 319 | 2020 |
| Segmentation by Fusion of Histogram-Based-Means Clusters in Different Color Spaces M Mignotte IEEE Transactions on image processing 17 (5), 780-787, 2008 | 309 | 2008 |
| 3D/2D registration and segmentation of scoliotic vertebrae using statistical models S Benameur, M Mignotte, S Parent, H Labelle, W Skalli, J de Guise Computerized Medical Imaging and Graphics 27 (5), 321-337, 2003 | 249 | 2003 |
| Fall detection from depth map video sequences C Rougier, E Auvinet, J Rousseau, M Mignotte, J Meunier Toward Useful Services for Elderly and People with Disabilities: 9th …, 2011 | 238 | 2011 |
| Three-class Markovian segmentation of high-resolution sonar images M Mignotte, C Collet, P Pérez, P Bouthemy Computer Vision and Image Understanding 76 (3), 191-204, 1999 | 162 | 1999 |
| Statistical background subtraction using spatial cues PM Jodoin, M Mignotte, J Konrad IEEE Transactions on Circuits and Systems for Video Technology 17 (12), 1758 …, 2007 | 147 | 2007 |
| Hybrid genetic optimization and statistical model based approach for the classification of shadow shapes in sonar imagery M Mignotte, C Collet, P Perez, P Bouthemy IEEE Transactions on Pattern Analysis and Machine Intelligence 22 (2), 129-141, 2000 | 128 | 2000 |
| Endocardial boundary e timation and tracking in echocardiographic images using deformable template and markov random fields M Mignotte, J Meunier, JC Tardif Pattern Analysis & Applications 4, 256-271, 2001 | 126 | 2001 |
| A hierarchical statistical modeling approach for the unsupervised 3-D biplanar reconstruction of the scoliotic spine S Benameur, M Mignotte, H Labelle, JA De Guise IEEE Transactions on Biomedical Engineering 52 (12), 2041-2057, 2005 | 125 | 2005 |
| Multimodal change detection in remote sensing images using an unsupervised pixel pairwise-based Markov random field model R Touati, M Mignotte, M Dahmane IEEE Transactions on Image Processing 29, 757-767, 2019 | 114 | 2019 |
| A label field fusion Bayesian model and its penalized maximum rand estimator for image segmentation M Mignotte IEEE Transactions on Image Processing 19 (6), 1610-1624, 2010 | 112 | 2010 |
| A multiscale optimization approach for the dynamic contour-based boundary detection issue M Mignotte, J Meunier Computerized Medical Imaging and Graphics 25 (3), 265-275, 2001 | 92 | 2001 |
| A de-texturing and spatially constrained K-means approach for image segmentation M Mignotte Pattern Recognition Letters 32 (2), 359-367, 2011 | 87 | 2011 |
| A segmentation-based regularization term for image deconvolution M Mignotte IEEE Transactions on Image Processing 15 (7), 1973-1984, 2006 | 79 | 2006 |
| A non-local regularization strategy for image deconvolution M Mignotte Pattern recognition letters 29 (16), 2206-2212, 2008 | 77 | 2008 |
| An energy-based model encoding nonlocal pairwise pixel interactions for multisensor change detection R Touati, M Mignotte IEEE Transactions on Geoscience and Remote Sensing 56 (2), 1046-1058, 2017 | 69 | 2017 |
| Three-dimensional biplanar reconstruction of scoliotic rib cage using the estimation of a mixture of probabilistic prior models S Benameur, M Mignotte, F Destrempes, JA De Guise IEEE Transactions on Biomedical Engineering 52 (10), 1713-1728, 2005 | 69 | 2005 |
| Three-dimensional blind deconvolution of SPECT images M Mignotte, J Meunier IEEE Transactions on Biomedical Engineering 47 (2), 274-280, 2000 | 64 | 2000 |
| Unsupervised segmentation using a self-organizing map and a noise model estimation in sonar imagery KC Yao, M Mignotte, C Collet, P Galerne, G Burel Pattern Recognition 33 (9), 1575-1584, 2000 | 63 | 2000 |
Christophe ColletCNRS-iCube Université de Strasbourg在 unistra.fr 的电子邮件经过验证
