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

  • 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. 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⟩
  • 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⟩
  • Sophie Acquart, Phillipe Gain, Min Zhao, Yann Gavet, Alexandre Defreyn, et al.. Endothelial Morphometry by Image Analysis of Corneas Organ Cultured at 31 degrees C. Investigative Ophthalmology & Visual Science, 2010, 51 (3), pp.1356-1364. ⟨10.1167/iovs.08-3103⟩. ⟨emse-00510379⟩
  • Mathieu Fernandes, Yann Gavet, Jean-Charles Pinoli. A feature-based dense local registration of pairs of retinal images.. VISAPP 2009: 4th International Conference on Computer VISion Theory and APplications, Feb 2009, Lisbonne, Portugal. pp.265-265. ⟨hal-00509312⟩
  • Yann Gavet, Jean-Charles Pinoli. Visual perception based automatic recognition of cell mosaics in human corneal endothelium microscopy images. Image Analysis & Stereology, 2008, 27, pp.53-61. ⟨emse-00509294⟩