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

Publications HAL

80 documents

  • 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⟩
  • 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⟩
  • 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⟩
  • 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. Perception visuelle humaine, complétion des mosaïques et application à la reconstruction d'images de l'endothélium cornéen humain\\ en microscopie optique spéculaire. Traitement du signal et de l'image [eess.SP]. Ecole Nationale Supérieure des Mines de Saint-Etienne, 2008. Français. ⟨NNT : ⟩. ⟨tel-00473725⟩

Carrière

Développeur C/C++, CSSI, Toulouse