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Yann GAVET

  • Skills

    image processing, linux, augmented reality
    C/C++, python, matlab, OpenCL

  • Research Topics

    Modelisation and simulation of surfaces, mosaics and textures
    Voronoi diagrams are classically used to model mosaic patterns (like grains or cells). In the CorImMo 3D project (ANR TecSan 2012), the study of random fields allows us to randmly determine germs as well as distances to generate a spatial partition of the 2D or 3D space. The concepts and tools are based on:
    • random fields theory (covariance function, statistical moments including the skewness and kurtosis)
    • integral geometry (e.g., Minkowski functionals: area, perimeter and connectivity number for 2D fields; volume, surface area, mean breadth and connectivity number for 3D fields)
    • and mathematical morphology (e.g., openings and closures, skeletons, watersheds, granulometry).
    Mosaics
    The corneal endothelium is constituted of non-regenerative cells. We have proposed:
    • Segmentation methods based on human visual properties (Gestalt and Marr theories)
    • Segmentation evaluation tool, called epsilon dissimilarity criterion, tolerant to visual and spatial variations
    • 3D Reconstruction method (shape from focus), applied to corneal endothelium.
    CoLIP: Color Logarithmic Image Processing
    The Color Logarithmic Image Processing (CoLIP) is a recently introduced (2011) extension of the LIP mathematical framework based on abstract linear mathematics which provides a set of specific algebraic and functional operations that can be applied to the processing of color images valued in a bounded range. The CoLIP approach has been proved to be psycho-physically consistent with several laws and characteristics of the human color perception.
    Successful applications have been reported on the white balance correction in color images.

  • Teaching Areas

    Introduction to C programming, Signal Processing (L3)
    Introduction to image processing (M1), advanced image processing (M2), High Performance Computing (openmp, openCL).
    Taught in French and/or English

  • Biography

    His research is at the crossroad of mathematics (for the scientific background), physics (for the image formation rules), computer engineering (for testing and constructing the practical solutions) and the application fields.

  • Education

    Engineer, 2001
    Master thesis in image processing, 2004
    PhD thesis in image processing, 2008
    Habilitation 2015

  • Career History

    Assistant Professor
    Leader of the CorImMo3D project (ANR 2012, 650 K€)

    4 months (2017) detachment in Thalès-Angénieux, Saint-Heand, France.
    formerly: IT developer for CNES (Space French Agency)

63 documents

  • Hamza Moussaoui, Johan Debayle, Yann Gavet, Peter Cloetens, Jérôme Laurencin. Particle-based model for functional and diffusion layers of solid oxide cells electrodes. Powder Technology, 2020, 367, pp.67 à 81. ⟨10.1016/j.powtec.2020.03.040⟩. ⟨hal-02520003⟩
  • Solmaz Boroomandi Barati, Martin Hélène, Jean-Charles Pinoli, Stéphane Valette, Yann Gavet. Binarization of the gray scale images of droplets during dropwise condensation on textured surfaces. QCAV 2019 - Quality Control by Artificial Vision, Institute IRIMAS de l' Université de Haute-Alsace (UHA), May 2019, Mulhouse, France. pp.111720R, ⟨10.1117/12.2521447⟩. ⟨hal-02294810⟩
  • Solmaz Boroomandi Barati, Stéphane Valette, Jean-Charles Pinoli, Yann Gavet. Spatial analysis of condensation of droplets on textured surfaces. GDR MORPHEA Morphologie et Phénomènes d’Agrégation, Jun 2019, Saint-Étienne, France. ⟨hal-02190500⟩
  • Hamza Moussaoui, R.K. Sharma, Johan Debayle, Yann Gavet, Gérard Delette, et al.. Microstructural correlations for specific surface area and triple phase boundary length for composite electrodes of solid oxide cells. Journal of Power Sources, 2019, 412, pp.736-748. ⟨10.1016/j.jpowsour.2018.11.095⟩. ⟨hal-01976886⟩
  • Yann Gavet, Johan Debayle. Image Processing Tutorials with Python ®. Spartacus-Idh, 316 p., 2019, 978-2-36693-068-9. ⟨emse-02469242⟩
  • Hamza Moussaoui, Jérôme Laurencin, Maxime Hubert, Rakesh Sharma, Peter Cloetens, et al.. Stochastic Geometrical and Microstructural Modeling for Solid Oxide Cell Electrodes. 16th International Symposium on Solid Oxide Fuel Cells (SOFC-XVI), Sep 2019, Kyoto, Japan. pp.2031 à 2043, ⟨10.1149/09101.2031ecst⟩. ⟨hal-02279503⟩
  • Nima Hatami, Yann Gavet, Johan Debayle. Bag of recurrence patterns representation for time-series classification. Pattern Analysis and Applications, 2019, 22 (3), pp.877 à 887. ⟨10.1007/s10044-018-0703-6⟩. ⟨hal-01774237⟩
  • Solmaz Boroomandi Barati, Victor Rabiet, Jean-Charles Pinoli, Yann Gavet, Stéphane Valette. Modeling and simulating the growth of ellipsoidal droplets during dropwise condensation on pillared surfaces. Applied Thermal Engineering, 2019, 148, pp.1370 à1384. ⟨10.1016/j.applthermaleng.2018.11.001⟩. ⟨hal-01919598⟩
  • Solmaz Boroomandi Barati, Jean-Charles Pinoli, Stéphane Valette, Yann Gavet. Modeling and simulation of ellipsoidal droplets growing on patterned substrates during dropwise condensation. THE XVIII SPANISH-FRENCH SCHOOL Jacques-Louis Lions about Numerical Simulation in Physics and Engineering, Jun 2018, Las Palmas de Gran Canaria, Spain. . ⟨hal-01923918⟩
  • Solmaz Boroomandi Barati, Nicolas Pionnier, Jean-Charles Pinoli, Stéphane Valette, Yann Gavet. Investigation spatial distribution of droplets and the percentage of surface coverage during dropwise condensation. International Journal of Thermal Sciences, 2018, 124, pp.356 à 365. ⟨10.1016/j.ijthermalsci.2017.10.020⟩. ⟨hal-01774493⟩

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