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

63 documents

  • Klervi Rannou, Gilles Thuret, Phillipe Gain, Jean-Charles Pinoli, Yann Gavet. A novel quantitative methodology for age evaluation of the human corneal endothelium. QCAV 2017 - 13th International Conference on Quality Control by Artificial Vision, Technical Committee on Industrial Application of Image Processing, Japan Society for Precision Engineering; Chuo University, May 2017, Tokyo, Japan. pp.103381D, ⟨10.1117/12.2263670⟩. ⟨hal-01928564⟩
  • Solmaz Boroomandi Barati, Nicolas Pionnier, Jean-Charles Pinoli, Stéphane Valette, Yann Gavet. Spatial distribution modeling of droplets during water dropwise condensation on textured surfaces. 28 èmes Journée Internationales Francophones de Tribologie - JIFT 2016, Apr 2016, Saint-Etienne, France. . ⟨hal-01498839⟩
  • 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⟩
  • Guillaume Hor, Yann Gavet, Aurelien Bernard, Urrea Caroline, Philippe Gain, et al.. Digitalization of a wide field contact specular microscope. Innovation and Research in BioMedical engineering, 2016, 37 (2), pp.103 à 108. ⟨10.1016/j.irbm.2016.03.001⟩. ⟨hal-01368889⟩
  • 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⟩
  • 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⟩
  • 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 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⟩