Thin Structures Segmentation Using Anisotropic Neighborhoods

Autor: Sylvie Le Hégarat-Mascle, Nicolas Lermé, Christophe Ribal

Publikováno v: Information Processing and Management of Uncertainty in Knowledge-Based Systems ISBN: 9783030501457
IPMU (1)
IPMU 2020: Information Processing and Management of Uncertainty in Knowledge-Based Systems
IPMU 2020: Information Processing and Management of Uncertainty in Knowledge-Based Systems, pp.601-612, 2020, ⟨10.1007/978-3-030-50146-4_44⟩

International audience; Bayesian and probabilistic models are widely used in image processing to handle noise due to various alteration phenomena. To benefit from the spatial information in a tractable way, Markov Random Fields (MRF) are often assume

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f3c658004b8389ad0c7467d2da9b4b53
https://doi.org/10.1007/978-3-030-50146-4_44

A Numerical Approach for the Mechanical Analysis of Superconducting Rutherford-Type Cables Using Bimetallic Description

Autor: Véronique Aubin, Damien Durville, Nicolas Lermé, Gilles Lenoir, Francois Nunio, Eric Maire, Jean-Yves Buffiere, Pierre Manil, Yamen Othmani, Petr Dokládal, Maria S. Commisso

Publikováno v: IEEE Transactions on Applied Superconductivity
IEEE Transactions on Applied Superconductivity, Institute of Electrical and Electronics Engineers, 2017, 27 (4), ⟨10.1109/TASC.2017.2664803⟩
IEEE Transactions on Applied Superconductivity, 2017, 27 (4), ⟨10.1109/TASC.2017.2664803⟩

International audience; Low-temperature superconductors are widely used in high-field magnets, mostly within Rutherford-type cables. The run for higher fields leads to greater forces on the conductor, which is pushed closer to its mechanical limit. M

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2ae24c89ab2a58786b694d90f48a8c50
https://doi.org/10.1109/tasc.2017.2664803

Adaptive optics imaging of retinal microstructures: image processing for medical applications (Orale)

Autor: Michel Paques, Florence Rossant, Nicolas Lermé, Chahira Miloudi, Caroline Kulcsár, José-Alain Sahel, Kevin Loquin, Laurent Mugnier, Isabelle Bloch, Edouard Koch

Publikováno v: International Workshop on Computational Intelligence for Multimedia Understanding-IWCIM
International Workshop on Computational Intelligence for Multimedia Understanding-IWCIM, Nov 2014, Paris, France
HAL

International audience; Adaptive optics (AO) fundus imaging is an optoelectronic technique allowing an improvement of an order of magnitude of lateral resolution of retinal images. Currently, its main applications in ophthalmology span from photorece

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::215fee4920d07e07c53b15b753939224
https://hal.archives-ouvertes.fr/hal-01075302/document

Simultaneous Segmentation and Filtering Via Reduced Graph Cuts

Autor: ois Malgouyres, Nicolas Lermé, Fran

Publikováno v: Advanced Concepts for Intelligent Vision Systems. ACIVS 2012
Blanc-Talon J., Philips W., Popescu D., Scheunders P., Zemčík P. (eds). Advanced Concepts for Intelligent Vision Systems. ACIVS 2012, p. 201-212, 2012, Lecture Notes in Computer Science, vol 7517, 978-3-642-33140-4. ⟨10.1007/978-3-642-33140-4_18⟩
Advanced Concepts for Intelligent Vision Systems ISBN: 9783642331398
ACIVS
ACIVS, 2012, Brno, Czech Republic. pp.201-212, ⟨10.1007/978-3-642-33140-4_18⟩

12 pages; International audience; Recently, optimization with graph cuts became very attractive but generally remains limited to small-scale problems due to the large memory requirement of graphs, even when restricted to binary variables. Unlike prev

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f7adaaa0c790cf96b0bc5a482172683b
https://hal.archives-ouvertes.fr/hal-00624093

Non-heuristic reduction of the graph in graph-cut optimization

Autor: Nicolas Lermé, François Malgouyres

Publikováno v: NCMIP
NCMIP, 2012, Cachan, France. pp.012002

During the last ten years, graph cuts had a growing impact in shape optimization. In particular, they are commonly used in applications of shape optimization such as image processing, computer vision and computer graphics. Their success is due to the

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::70eef3a80e12cbbd1e7d05bd5fd37761
https://doi.org/10.1088/1742-6596/386/1/012002