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

  • 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⟩
  • Mathieu Fernandes, Yann Gavet, Jean-Charles Pinoli. Surface topography and texture restoration from sectional optical imaging by focus analysis. Intech. Image Restoration - Recent Advances and Applications, Aymeric Histace, pp.73-96, 2012, 978-953-51-0388-2. ⟨hal-00685364⟩
  • Yann Gavet, Mathieu Fernandes, Jean-Charles Pinoli. Quantitative evaluation of image registration techniques in the case of retinal images. Journal of Electronic Imaging, 2012, 21 (2), pp.21118. ⟨10.1117/1.JEI.21.2.021118⟩. ⟨hal-00700870⟩
  • Mathieu Fernandes, Yann Gavet, Jean-Charles Pinoli. Robust 3-D reconstruction of surfaces from image focus by local cross-sectional multivariate statistical analyses: Application to human ex vivo corneal endotheliums.. Medical Image Analysis, 2012, 16 (6), pp.1293-1306. ⟨10.1016/j.media.2012.05.004⟩. ⟨hal-00733040⟩
  • Yann Gavet, Jean-Charles Pinoli. A geometric dissimilarity criterion between Jordan spatial mosaics. Theoretical aspects and application to segmentation evaluation. Journal of Mathematical Imaging and Vision, 2012, 42 (1), pp.25-49. ⟨10.1007/s10851-011-0272-4⟩. ⟨hal-00660178⟩
  • Hélène Gouinaud, Yann Gavet, Johan Debayle, Jean-Charles Pinoli. Color Correction in the Framework of Color Logarithmic Image Processing. 7th International Symposium on Image and Signal Processing and Analysis (ISPA 2011), Sep 2011, Dubrovnik, Croatia. Non paginé. ⟨hal-00623449⟩
  • Mathieu Fernandes, Yann Gavet, Jean-Charles Pinoli. Improving focus measurements using logarithmic image processing. Journal of Microscopy, 2011, 242 (3), pp.228-241. ⟨10.1111/j.1365-2818.2010.03461.x⟩. ⟨hal-00643563⟩
  • Yann Gavet, Mathieu Fernandes, Jean-Charles Pinoli. Automatic quantitative evaluation of image registration techniques with the "epsilon" dissimilarity criterion in the case of retinal images.. Tenth International Conference on Quality Control by Artificial Vision QVAC 2011, Jun 2011, Saint Etienne, France. pp.8000-23, ⟨10.1117/12.890883⟩. ⟨hal-00614076⟩