Yann GAVET

  • Compétences

    Traitement d’images
    Programmation C, matlab, python

    Champs aléatoires, modélisation de surfaces, simulation numérique

  • Enseignement

    Traitement d’images
    Traitement du signal
    Programmation (C, openCL, python)

  • Formation

    Ingénieur Civil des Mines (Saint-Etienne, E98) 2001
    Master Image, 2004
    Thèse de Doctorat en traitement d’images, 2008
    HDR, 2015

  • Carrière

    Développeur C/C++, CSSI, Toulouse

70 documents

  • Aurelien Bernard, Yann Gavet, Guillaume Hor, Jacques Klossa, Anne-Sophie Gauthier, et al.. 3D images of the endothelial surface to increase accuracy of cell count in eye banks. Innovation and Research in BioMedical engineering, 2016, 37 (2), pp.98 à 102. ⟨10.1016/j.irbm.2016.02.011⟩. ⟨hal-01370427⟩
  • Klervi Rannou, Emmanuel Crouzet, Caroline Ronin, Patricio Guerrero, Gilles Thuret, et al.. Comparison of corneal endothelial mosaic according to the age: the corimmo 3D project. Innovation and Research in BioMedical engineering, 2016, 37 (2), pp.124-130. ⟨10.1016/j.irbm.2016.03.004⟩. ⟨hal-01365604⟩
  • Samuel Etienne, Giacomo Pataia, Nicolas Naigeon, Aurelien Bernard, Zhiguo He, et al.. Innovative, non-contact wide field imaging of corneal endothelium. Twelfth international conference on quality control by artificial vision - QCAV 2015, Le2i - Laboratoire Electronique, Informatique et image; IUT Le Creusot Centre Universitaire Condorcet, Jun 2015, Le Creusot, France. pp.9534-15, ⟨10.1117/12.2182748⟩. ⟨emse-01258666⟩
  • Klervi Rannou, Yann Gavet, Jean-Charles Pinoli. Characterization of the corneal endothelial mosaic and comparison with simulated tessellations modeled with Gaussian random fields. Twelfth International Conference on Quality Control by Artificial Vision, Le2i - Laboratoire Electronique, Informatique et Image; IUT Le Creusot Centre Universitaire Condorcet, Jun 2015, Le Creusot, France. pp.[9534-45] ; doi: 10.1117/12.2182828. ⟨emse-01165250⟩
  • Yann Gavet, Johan Debayle, Jean-Charles Pinoli. The Color Logarithmic Image Processing (CoLIP) antagonist space.. M. Emre Celebi ; Michela Lecca ; Bogdan Smolka. Color image and video enhancement, Springer International Publishing, 2015, 978-3-319-09363-5. ⟨10.1007/978-3-319-09363-5_6⟩. ⟨hal-01216390⟩
  • Yann Gavet, Johan Debayle, Jean-Charles Pinoli. The Color Logarithmic Image Processing (CoLIP) antagonist space and chromaticity diagram. CCIW 2015 (The Fifth Computational Color Imaging Workshop), Shoji Tominaga ; Raimondo Schettini ; lain Tremeau, Mar 2015, SAINT ETIENNE, France. pp.131-138, ⟨10.1007/978-3-319-15979-9_13⟩. ⟨hal-01121694⟩
  • Yann Gavet, Mathieu Fernandes, Johan Debayle, Jean-Charles Pinoli. Dissimilarity criteria and their comparison for quantitative evaluation of image segmentation: application to human retina vessels. Machine Vision and Applications, 2014, 25 (8), pp.1953-1966. ⟨10.1007/s00138-014-0625-2⟩. ⟨hal-01094137⟩
  • Yann Gavet, Jean-Charles Pinoli. Comparison and supervised learning of segmentation methods dedicated to specular microscope images of corneal endothelium. International Journal of Biomedical Imaging, 2014, pp.704791. ⟨10.1155/2014/704791⟩. ⟨hal-01094180⟩
  • Ola Suleiman Ahmad, Yann Gavet, Jean Geringer, Jean-Charles Pinoli. Roughness variability estimation of microscopic surfaces during engineering wear process-Application to total hip implant. 11th International Conference on Quality Control by Artificial Vision, May 2013, Fukuoka, Japan. pp. ⟨hal-00870518⟩
  • Yann Gavet, Ola Suleiman Ahmad, Jean-Charles Pinoli. Integral Geometry of Linearly Combined Gaussian and Student-t, and Skew Student's t Random Fields. First International Conference, Geometric Science of Information - GSI 2013 Proceedings, Aug 2013, Paris, France. pp.449-456, ⟨10.1007/978-3-642-40020-9_49⟩. ⟨hal-00870350⟩