A Quasi-linear Algorithm to Compute the Tree of Shapes of nD Images T Géraud, E Carlinet, S Crozet, L Najman International symposium on mathematical morphology and its applications to …, 2013 | 104 | 2013 |
A comparative review of component tree computation algorithms E Carlinet, T Géraud IEEE Transactions on Image Processing 23 (9), 3885-3895, 2014 | 97 | 2014 |
MToS: A tree of shapes for multivariate images E Carlinet, T Géraud IEEE Transactions on Image Processing 24 (12), 5330-5342, 2015 | 50 | 2015 |
Hierarchical segmentation using tree-based shape spaces Y Xu, E Carlinet, T Géraud, L Najman IEEE transactions on pattern analysis and machine intelligence 39 (3), 457-469, 2016 | 46 | 2016 |
A comparison of many max-tree computation algorithms E Carlinet, T Géraud International Symposium on Mathematical Morphology and Its Applications to …, 2013 | 30 | 2013 |
Efficient computation of attributes and saliency maps on tree-based image representations Y Xu, E Carlinet, T Géraud, L Najman International Symposium on Mathematical Morphology and Its Applications to …, 2015 | 20 | 2015 |
A color tree of shapes with illustrations on filtering, simplification, and segmentation E Carlinet, T Géraud International Symposium on Mathematical Morphology and Its Applications to …, 2015 | 14 | 2015 |
Self-duality and digital topology: links between the morphological tree of shapes and well-composed gray-level images T Géraud, E Carlinet, S Crozet International Symposium on Mathematical Morphology and Its Applications to …, 2015 | 11 | 2015 |
A morphological tree of shapes for color images E Carlinet, T Géraud 2014 22nd International Conference on Pattern Recognition, 1132-1137, 2014 | 11 | 2014 |
Left atrial segmentation in a few seconds using fully convolutional network and transfer learning É Puybareau, Z Zhao, Y Khoudli, E Carlinet, Y Xu, J Lacotte, T Géraud International Workshop on Statistical Atlases and Computational Models of …, 2018 | 9 | 2018 |
Introducing the Dahu pseudo-distance T Géraud, Y Xu, E Carlinet, N Boutry International Symposium on Mathematical Morphology and Its Applications to …, 2017 | 9 | 2017 |
Getting a morphological tree of shapes for multivariate images: Paths, traps, and pitfalls E Carlinet, T Géraud 2014 IEEE International Conference on Image Processing (ICIP), 615-619, 2014 | 9 | 2014 |
The tree of shapes turned into a max-tree: a simple and efficient linear algorithm E Carlinet, S Crozet, T Géraud 2018 25th IEEE International Conference on Image Processing (ICIP), 1488-1492, 2018 | 8 | 2018 |
Morphological object picking based on the color tree of shapes E Carlinet, T Géraud 2015 International Conference on Image Processing Theory, Tools and …, 2015 | 7 | 2015 |
Region-based classification of remote sensing images with the morphological tree of shapes G Cavallaro, M Dalla Mura, E Carlinet, T Géraud, N Falco, ... 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS …, 2016 | 3 | 2016 |
A fair comparison of many max-tree computation algorithms (extended version of the paper submitted to ismm 2013 E Carlinet, T Géraud arXiv preprint arXiv:1212.1819, 2012 | 3 | 2012 |
A Tree of shapes for multivariate images E Carlinet | 2 | 2015 |
Meaningful disjoint level lines selection Y Xu, E Carlinet, T Géraud, L Najman 2014 IEEE International Conference on Image Processing (ICIP), 2938-2942, 2014 | 2 | 2014 |
Mathematical Morphology and its applications to Image and Signal Processing A Moga, T Viero, B Dobrin, M Gabbouj Kluwer Academic Publishers, chapter Implementation of a distributed …, 1994 | 2 | 1994 |
Intervertebral disc segmentation using mathematical morphology—a CNN-free approach E Carlinet, T Géraud International Workshop and Challenge on Computational Methods and Clinical …, 2018 | 1 | 2018 |