Johan DEBAYLE

  • Responsabilité et missions

    - Head of the Department PMMG of the Centre SPIN, MINES Saint‐Etienne
    – Head of the Department PMDM of the LGF CNRS 5307 Research Laboratory
    – Deputy Director of the MORPHEA CNRS GDR 2021 Research Group
    – Associate Editor for « Pattern Analysis and Applications », Springer
    – Associate Editor for « Journal of Electronic Imaging », SPIE
    – Associate Editor for « Image Analysis and Stereology », ISSIA
    – Vice‐​President Membership for the IEEE France Section
    – Head of the Master of Science in « Mathematical Imaging and Spatial Pattern Analysis (MISPA) » at the ENSM‐SE

  • Compétences

    Image Processing and Analysis

  • Activités de recherche

    - Adaptive Image Processing
    – Mathematical Morphology
    – Pattern Analysis
    – Stochastic Geometry

  • Enseignement

    - Signal Processing
    – Image Processing
    – Image Analysis

  • Biographie

    https://www.emse.fr/~debayle/biosketch.html

  • Formation

    - 2012 : Habilitation Degree in Mathematical Imaging (STIC /​ CNU 61) from Université Jean Monnet, Saint‐​Etienne, France.
    – 2006 : Post Doctoral Position (12 months) in Biomedical Image Analysis from Institut National de Recherche en Informatique et en Automatique (INRIA), Sophia Antipolis, France
    – 2005 : Ph.D. in Image Processing and Analysis from Ecole Nationale Supérieure des Mines, Saint‐​Etienne, France.
    – 2002 : M.Sc. in Image Procesing and Analysis from Université Jean Monnet, Saint‐​Etienne, France
    – 2000 : B.Sc. in Mathematics from Université Jean Monnet, Saint‐​Etienne, France

  • Carrière

    - 2016 : Full Professor in Image Processing and Analysis at the Ecole Nationale Supérieure des Mines, Saint‐​Etienne, France.
    – 2007 : Associate Professor in Image Processing and Analysis at the Ecole Nationale Supérieure des Mines, Saint‐​Etienne, France.

  • Principaux ouvrages

    https://www.emse.fr/~debayle/bib/index.html

  • Distinctions

    https://www.emse.fr/~debayle/biosketch.html

111 documents

  • Article dans une revue

    • 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, Elsevier, 2020, 367, pp.67 à 81. ⟨10.1016/j.powtec.2020.03.040⟩. ⟨hal-02520003⟩
    • Johan Debayle, Vesna Gotovac Ðogaš, Katerina Helisova, Jakub Staněk, Markéta Zikmundová. Assessing Similarity of Random sets via Skeletons. Methodology and Computing in Applied Probability, Springer Verlag, 2020, ⟨10.1007/s11009-020-09785-y⟩. ⟨hal-02524751⟩
    • Mathieu de Langlard, Fabrice Lamadie, Sophie Charton, Johan Debayle. Bayesian inference of a parametric random ellipsoid from its orthogonal projections. Methodology and Computing in Applied Probability, Springer Verlag, 2020, https://doi.org/10.1007/s11009-020-09806-w. ⟨10.1007/s11009-020-09806-w⟩. ⟨hal-02927445⟩
    • Anan Nugroho, Risanuri Hidayat, Hanung Nugroho, Johan Debayle. Combinatorial active contour bilateral filterfor ultrasound image segmentation. Journal of Medical Imaging, SPIE Digital Library, 2020, 75 (5), pp.057003. ⟨10.1117/1.JMI.7.5.057003⟩. ⟨emse-02987290⟩
    • Nima Hatami, Yann Gavet, Johan Debayle. Bag of recurrence patterns representation for time-series classification. Pattern Analysis and Applications, Springer Verlag, 2019, 22 (3), pp.877 à 887. ⟨10.1007/s10044-018-0703-6⟩. ⟨hal-01774237⟩
    • E. Effori, H. Moussaoui, F. Monaco, R. Sharma, J. Debayle, et al.. Reaction Mechanism and Impact of Microstructure on Performances for the LSCF‐CGO Composite Electrode in Solid Oxide Cells. Fuel Cells, Wiley-VCH Verlag, 2019, ⟨10.1002/fuce.201800185⟩. ⟨hal-02157373⟩
    • 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, Elsevier, 2019, 412, pp.736-748. ⟨10.1016/j.jpowsour.2018.11.095⟩. ⟨hal-01976886⟩
    • Johan Debayle. Geometrical and morphometrical tools for the inclusion analysis of metallic alloys. Metallurgical Research & Technology, EDP Sciences, In press, 116 (5), pp.508. ⟨10.1051/metal/2019011⟩. ⟨hal-02279921⟩
    • Hamza Moussaoui, Jérôme Laurencin, Maxime Hubert, Rakesh Sharma, Peter Cloetens, et al.. Stochastic Geometrical and Microstructural Modeling for Solid Oxide Cell Electrodes. ECS Transactions, Electrochemical Society, Inc., 2019, 91 (1), pp.2031 à 2043. ⟨10.1149/09101.2031ecst⟩. ⟨hal-02279503⟩
    • Nima Hatami, Yann Gavet, Johan Debayle. Classification of Time-Series Images Using Deep Convolutional Neural Networks. Proceedings of SPIE, the International Society for Optical Engineering, SPIE, The International Society for Optical Engineering, 2018, 10696, pp.UNSP 106960Y. ⟨10.1117/12.2309486⟩. ⟨hal-01869027⟩
    • Hamza Moussaoui, Jérôme Laurencin, Yann Gavet, Gérard Delette, Maxime Hubert, et al.. Stochastic geometrical modeling of solid oxide cells electrodes validated on 3D reconstructions. Computational Materials Science, Elsevier, 2018, 143, pp.262-276. ⟨10.1016/j.commatsci.2017.11.015⟩. ⟨hal-01655845⟩
    • Mathieu de Langlard, Fabrice Lamadie, Sophie Charton, Johan Debayle. A 3D stochastic model for geometrical characterization of particles in two-phase flow applications. Image Analysis and Stereology, International Society for Stereology, 2018, 37 (3), pp.233 à 247. ⟨10.5566/ias.1942⟩. ⟨hal-01949689⟩
    • Mathieu de Langlard, Hania Al-Saddik, Sophie Charton, Johan Debayle, Fabrice Lamadie. An efficiency improved recognition algorithm for highly overlapping ellipses: Application to dense bubbly flows. Pattern Recognition Letters, Elsevier, 2018, 101, pp.88 à 95. ⟨10.1016/j.patrec.2017.11.024⟩. ⟨hal-01684502⟩
    • Saïd Rahmani, Jean-Charles Pinoli, Johan Debayle. Description of the symmetric convex random closed sets as zonotopes from their Feret diameters. Modern Stochastics: Theory and Applications, VMSTA, 2017, 3 (4), pp.325 à 364. ⟨10.15559/16-VMSTA70⟩. ⟨hal-01430287⟩
    • Ruyi Liu, Qiguang Miao, Bormin Huang, Jianfeng Song, Johan Debayle. Improved road centerlines extraction in high-resolution remote sensing images using shear transform, directional morphological filtering and enhanced broken lines connection. Journal of Visual Communication and Image Representation, Elsevier, 2016, 40 (Part A), pp.300 à 311. ⟨10.1016/j.jvcir.2016.06.024⟩. ⟨hal-01346711⟩
    • Johan Debayle, Benoît Presles. Rigid Image Registration by General Adaptive Neighborhood Matching. Pattern Recognition, Elsevier, 2016, 55, pp.45-57. ⟨10.1016/j.patcog.2016.01.024⟩. ⟨emse-01274011⟩
    • Víctor González-Castro, Johan Debayle, Yanal Wazaefi, Mehdi Rahim, Caroline Gaudy-Marqueste, et al.. Texture descriptors based on adaptive neighborhoods for classification of pigmented skin lesions. Journal of Electronic Imaging, SPIE and IS&T, 2015, 24 (6), pp.061104. ⟨10.1117/1.JEI.24.6.061104⟩. ⟨emse-01225076⟩
    • Víctor González-Castro, Johan Debayle, Jean-Charles Pinolí. Color Adaptive Neighborhood Mathematical Morphology and its application to pixel-level classification. Pattern Recognition Letters, Elsevier, 2014, pp.50 - 62. ⟨10.1016/j.patrec.2014.01.007⟩. ⟨hal-01079559⟩
    • Wenzhong Shi, Zelang Miao, Johan Debayle. An integrated method for urban main-road centerline extraction from optical remotely sensed imagery. IEEE Transactions on Geoscience and Remote Sensing, Institute of Electrical and Electronics Engineers, 2014, 52 (6), pp.3359-3372. ⟨10.1109/TGRS.2013.2272593⟩. ⟨hal-01094378⟩
    • Séverine Rivollier, Johan Debayle, Jean-Charles Pinoli. Adaptive shape diagrams for multiscale morphometrical image analysis. Journal of Mathematical Imaging and Vision, Springer Verlag, 2014, 49 (1), pp.51-69. ⟨10.1007/s10851-013-0439-2⟩. ⟨hal-01003567⟩
    • 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, Springer Verlag, 2014, 25 (8), pp.1953-1966. ⟨10.1007/s00138-014-0625-2⟩. ⟨hal-01094137⟩
    • Laura Dubuis, Stéphane Avril, Johan Debayle, Pierre Badel. Identification of the material parameters of soft tissues in the compressed leg.. Computer Methods in Biomechanics and Biomedical Engineering, Taylor & Francis, 2012, 15 (1), pp.3-11. ⟨10.1080/10255842.2011.586945⟩. ⟨hal-00682221⟩
    • Benoît Presles, Johan Debayle, Jean-Charles Pinoli. Size and shape estimation of 3-D convex objects from their 2-D projections: application to crystallization processes. Journal of Microscopy, Wiley, 2012, 248 (2), pp.140-155. ⟨10.1111/j.1365-2818.2012.03658.x⟩. ⟨hal-00761553⟩
    • Ola Ahmad, Johan Debayle, Nesrine Gherras, Benoît Presles, Gilles Févotte, et al.. Recognizing overlapped particles during a crystallization process from in situ video images for measuring their size distributions. Journal of Electronic Imaging, SPIE and IS&T, 2012, 21 (2), pp.0211115. ⟨10.1117/1.JEI.21.2.021115⟩. ⟨hal-00733252⟩
    • Jean-Charles Pinoli, Johan Debayle. Spatially and Intensity Adaptive Morphology. IEEE Journal of Selected Topics in Signal Processing, IEEE, 2012, 6 (7), pp.820-829. ⟨10.1109/JSTSP.2012.2214762⟩. ⟨hal-00837826⟩
    • Jean-Charles Pinoli, Johan Debayle. Adaptive generalized metrics, distance maps and nearest neighbor transforms on gray tone images. Pattern Recognition, Elsevier, 2012, 45 (7), pp.2758-2768. ⟨10.1016/j.patcog.2011.12.026,⟩. ⟨hal-00681769⟩
    • Marthe Lagarrigue, Sandra Jacquier, Johan Debayle, Jean-Charles Pinoli, Frédéric Gruy. Approximation for the light scattering cross-section of optically hard aggregates. Journal of Quantitative Spectroscopy and Radiative Transfer, Elsevier, 2012, 113 (9), pp.704-714. ⟨10.1016/j.jqsrt.2012.02.019⟩. ⟨hal-00681207⟩
    • Johan Debayle, Jean-Charles Pinoli. General Adaptive Neighborhood-Based Pretopological Image Filtering. Journal of Mathematical Imaging and Vision, Springer Verlag, 2011, 41 (3), pp.210-221. ⟨10.1007/s10851-011-0271-5⟩. ⟨emse-00643414⟩
    • Ola Suleiman Ahmad, Johan Debayle, Jean-Charles Pinoli. A geometric-based method for recognizing overlapping polygonal-shaped and semi-transparent particles in gray tone images. Pattern Recognition Letters, Elsevier, 2011, 32 (15), pp.2068-2079. ⟨10.1016/j.patrec.2011.09.004⟩. ⟨hal-00632468⟩
    • Jérémie Pourchez, Bertrand Ruot, Johan Debayle, Emilie Rouèche-Pourchez, Philippe Grosseau. Some aspects of cellulose ethers influence on water transport and porous structure of cement-based materials. Cement and Concrete Research, Elsevier, 2010, 40 (2), pp.242-252. ⟨10.1016/j.cemconres.2009.10.008⟩. ⟨hal-00464184⟩
    • Benoît Presles, Johan Debayle, Gilles Fevotte, Jean-Charles Pinoli. Novel image analysis method for in situ monitoring the particle size distribution of batch crystallization processes. Journal of Electronic Vision, 2010, 19, pp.031207. ⟨10.1117/1.3462800⟩. ⟨hal-00550948⟩
    • Marthe Lagarrigue, Johan Debayle, Sandra Jacquier, Frédéric Gruy, Jean-Charles Pinoli. Geometrical Characterization of Various Shaped 3D-Aggregates of Primary Spherical Particules by Radial Distribution Functions. Lecture Notes in Computer Science, Springer, 2010, 6112, pp.434-443. ⟨10.1007/978-3-642-13775-4_43⟩. ⟨hal-00550430⟩
    • Séverine Rivollier, Johan Debayle, Jean-Charles Pinoli. Shape diagrams for 2D compact sets - Part III: convexity discrimination for analytic and discretized simply connected sets.. Australian Journal of Mathematical Analysis and Applications, Austral Internet Publishing, 2010, 7 (2), Article 5, pp. 1-18. ⟨hal-00550951⟩
    • Séverine Rivollier, Johan Debayle, Jean-Charles Pinoli. Integral Geometry and General Adaptive Neighborhoods for Multiscale Image Analysis. International Journal of Signal and Image Processing (IJSIP), HyperSciences, 2010, 1 (3), pp.141-150. ⟨hal-00509342⟩
    • Séverine Rivollier, Johan Debayle, Jean-Charles Pinoli. Shape diagrams for 2D compact sets - Part II: analytic simply connected sets.. Australian Journal of Mathematical Analysis and Applications, Austral Internet Publishing, 2010, 7 (2), Article 4, pp. 1-21. ⟨hal-00550950⟩
    • Séverine Rivollier, Johan Debayle, Jean-Charles Pinoli. Shape diagrams for 2D compact sets - Part I: analytic convex sets. Australian Journal of. Australian Journal of Mathematical Analysis and Applications, Austral Internet Publishing, 2010, 7 (2), Article 3 ; pp. 1-27. ⟨hal-00550949⟩
    • Johan Debayle, Jean-Charles Pinoli. General Adaptive Neighborhood Choquet Image Filtering. Journal of Mathematical Imaging and Vision, Springer Verlag, 2009, 35 (3), pp.173-175. ⟨10.1007/s10851-009-0163-0⟩. ⟨emse-00445831⟩
    • Johan Debayle, Ahmed Raihane, Abdelkrim Belhaoua, Olivier Bonnefoy, Gérard Thomas, et al.. Velocity field computation in vibrated granular media using an optical flow based multiscale image analysis method. Image Analysis and Stereology, International Society for Stereology, 2009, 28, pp.35-43. ⟨hal-00379921⟩
    • Jean-Charles Pinoli, Johan Debayle. Logarithmic adaptive neighborhood image processing (LANIP): Introduction, connections to human brightness perception, and application issues. EURASIP Journal on Advances in Signal Processing, SpringerOpen, 2007, pp.36105. ⟨10.1155/2007/36105⟩. ⟨emse-00445939⟩
    • Johan Debayle, Jean-Charles Pinoli. General Adaptive Neighborhood Image Processing. Part II: Practical Applications Issues. Journal of Mathematical Imaging and Vision, Springer Verlag, 2006, 25(2), pp.267-284. ⟨10.1007/s10851-006-7452-7⟩. ⟨hal-00128123⟩
    • Johan Debayle, Jean-Charles Pinoli. General Adaptive Neighborhood Image Processing. Part I: Introduction and Theoretical Aspects. Journal of Mathematical Imaging and Vision, Springer Verlag, 2006, 25(2), pp.245-266. ⟨10.1007/s10851-006-7451-8⟩. ⟨hal-00128118⟩
    • Johan Debayle, Jean-Charles Pinoli. Spatially adaptive morphological image filtering using intrinsic structuring. Image Analysis and Stereology, International Society for Stereology, 2005, 24 (3), pp.145-158. ⟨emse-00446130⟩

  • Communication dans un congrès

    • Johan Debayle. Image Processing, Analysis and Modeling of Particle Populations. 11th International conference on pattern recognition systems, Universidad de Talca, Mar 2021, Curicó, Chile. ⟨emse-02929459⟩
    • Anan Nugroho, Risanuri Hidayat, Hanung Nugroho, Johan Debayle. Cancerous object detection using morphological region-based active contour in ultrasound images. The 8th Engineering International Conference 2019, Aug 2020, Semarang, Indonesia. pp.012011, ⟨10.1088/1742-6596/1444/1/012011⟩. ⟨emse-02472462⟩
    • Ibtissam Al Saidi, Mohammed Rziza, Johan Debayle. A new texture descriptor: the Homogeneous Local Binary Pattern (HLBP). 9th International Conference, ICISP 2020, Jun 2020, Marrakesh, Morocco. pp.308 à 316, ⟨10.1007/978-3-030-51935-3_33⟩. ⟨emse-02929244⟩
    • Johan Debayle. Use of image analysis for process control involving granular media. AXELERA Digital Club : Outils numériques pour le contrôle des procédés, Apr 2020, Lyon, France. ⟨emse-02485515⟩
    • Johan Debayle. Apport de l’analyse d’image pour la caractérisation morphologique de milieux granulaires. Journée technique : « Les outils numériques pour l’exploitation, le contrôle et l’optimisation des procédés », Axelera; Minalogic, Dec 2019, Solaize, France. ⟨emse-02451062⟩
    • Johan Debayle. Digital twins and image analysis for the morphological characterization of granular. ICMV 2019 - The 12th International Conference on Machine Vision, Nov 2019, Amsterdam, Netherlands. ⟨emse-02469454⟩
    • Johan Debayle. Mathematical Image Processing, Analysis and Modeling of Particle Populations. 6CIMA - The Sixth International Conference on Mathematics and its Applications, Puebla, Facultad de Ciencias Físico Matemáticas - Benemérita Universidad Autónoma de Puebla, Sep 2019, Puebla, Mexico. ⟨hal-02308328⟩
    • Johan Debayle. Image Processing, Analysis and Modeling of Particle Populations. ICST 2019 - 5th International Conference on Science and Technology, Universitas Gadjah Mada, Jul 2019, Yogyakarta, Indonesia. ⟨hal-02308424⟩
    • Mathieu de Langlard, Fabrice Lamadie, Sophie Charton, Johan Debayle. Image analysis and stochastic geometry for the morphological characterization of multiphase flow. GDR MORPHEA Morphologie et Phénomènes d’Agrégation, Jun 2019, Saint-Étienne, France. ⟨hal-02190531⟩
    • Alexandre Boucher, Arezki Chekroun, Johan Debayle, Alain Liné. Morphologie et célérité des poches de gaz: des bulles de Taylor aux structures non confinées. GDR MORPHEA Morphologie et Phénomènes d’Agrégation, Jun 2019, Saint-Étienne, France. ⟨hal-02190619⟩
    • Tatyana Eremina, Johan Debayle, Frédéric Gruy, Jean-Charles Pinoli. Local Minkowski measures for random set geometrical characterization.. ICSIA 2019 - 15th International Congress for Stereology and Image Analysis, Aarhus University, May 2019, Aarhus, Denmark. ⟨hal-02307314⟩
    • Tatyana Eremina, Johan Debayle, Frédéric Gruy, Jean-Charles Pinoli. Local Minkowski measures for geometric characterization of stochastic spatial. 42ème journée ISS France, Mines ParisTech, Feb 2019, Paris, France. ⟨hal-02068172⟩
    • Johan Debayle. General Adaptive Neighborhood Image Processing (GANIP). 2019 IS&T International Symposium on Electronic Imaging (IE2019) - Image Processing: Algorithms and Systems XVII, Society for Imaging Sciences and Technology, Jan 2019, Burlingame, United States. ⟨hal-02067972⟩
    • Johan Debayle. General Adaptive Neighborhood Image Processing and Analysis (GANIPA). SPIE. DEFENSE COMMERCIAL SENSING, SPIE, Jan 2019, Baltimore, United States. ⟨hal-02149554⟩
    • Johan Debayle. Image processing, analysis and modeling of particle populations. SETIT'2018 - Sciences of Electronics, Technologies of Information and Telecommunications, Sfax University (Tunisie); Genoa University ( Italie), Dec 2018, Hammamet, Tunisia. ⟨hal-02067314⟩
    • Johan Debayle. Image Processing, Analysis and Modeling of Particle Populations. The 9th International Symposium on Signal, Image, Video and Communications - ISIVC ' 2018, Mohammed V University (Rabat), Nov 2018, Rabat, Morocco. ⟨hal-02067470⟩
    • Johan Debayle. Bases géométriques pour l’analyse inclusionnaire dans les alliages métalliques. Matériaux 2018, FEDERATION FRANCAISE DES MATERIAUX, Nov 2018, Strasbourg, France. ⟨hal-02124525⟩
    • Johan Debayle. Image Processing, Analysis and Modeling of Particle Populations. 2018 The 11th International Conference on Machine Vision (ICMV 2018), School of Electronics - Si Chuan University, Chine - Halmstad University, Suède - University of Barcelona, Espagne, Nov 2018, Munich, Germany. ⟨hal-01936548⟩
    • Johan Debayle. Apport de l’analyse d’image pour la caractérisation morphologique de milieux granulaires. AXELERA: Journée technique « Analyse et contrôle en ligne pour des procédés mettant en œuvre des poudres », AXELERA; SFGP (Société Française de Génie des Procédés); Pôle Minalogic, Oct 2018, saint-etienne, France. ⟨hal-01896901⟩
    • Mathieu de Langlard, Fabrice Lamadie, Sophie Charton, Johan Debayle. 3D modeling of a population of particles from 2D silhouette images of two-phase flows.. Stereology, Spatial Statistics and Stochastic Geometry - S4G, Faculty of Mathematics and Physics, Charles University; Conforg, s.r.o., Jun 2018, Prague, Czech Republic. ⟨hal-01896602⟩
    • Nima Hatami, Yann Gavet, Johan Debayle. Classification of Time-Series Images Using Deep Convolutional Neural Networks. 2017 The 10th International Conference on Machine Vision (ICMV 2017), ICMV Committees, Nov 2017, Vienne, Austria. ⟨10.1117/12.2309486⟩. ⟨hal-01743695⟩
    • F. Lamadie, S. Charton, J. Debayle, M. Delanglard, F. Onofri, et al.. Optical diagnostics for multiphase flows characterization. Fluids Engineering Division Summer Meeting, Jul 2017, Waikoloa (Hawaii), United States. ⟨cea-02435093⟩
    • Fabrice Lamadie, Sophie Charton, Mathieu de Langlard, Mariam Ouattara, Matthias P.L. Sentis, et al.. Development of Optical Techniques for Multiphase Flows Characterization. Fluids Engineering Division Summer Meeting (FEDSM2017), Fluids Engineering Division, Jul 2017, Hawaï, United States. pp.V01CT15A002, ⟨10.1115/FEDSM2017-69188⟩. ⟨hal-01636478⟩
    • Hamza Moussaoui, Johan Debayle, Yann Gavet, Gérard Delette, Maxime Hubert, et al.. 3D geometrical characterization and modelling of solid oxide cells electrodes microstructure by image analysis. Thirteenth International Conference on Quality Control by Artificial Vision 2017 (QCAV 2017), Chuo University, May 2017, Tokyo, Japan. pp.1033804, ⟨10.1117/12.2264376⟩. ⟨hal-01526466⟩
    • Benoît Presles, Johan Debayle. A distance-based shape descriptor invariant to similitude and its application to shape classification. 2016 23rd International Conference on Pattern Recognition (ICPR), Dec 2016, Cancun, France. pp.2598-2603, ⟨10.1109/ICPR.2016.7900027⟩. ⟨hal-01914277⟩
    • M. de Langlard, F. Lamadie, S. Charton, J. Debayle. Méthode d'analyse d'image pour la reconnaissance d'objets elliptiques se superposant : application à des images d’écoulement diphasique.. CFTL 2016 - Congrès Francophone de Techniques Laser 2016, Sep 2016, Toulouse, France. ⟨cea-02438728⟩
    • Saïd Rahmani, Jean-Charles Pinolí, Johan Debayle. Modélisation et caractérisation géométriques de cristaux par analyse d’images in situ. Cristal Rouen 2016 - 8ème édition du colloque Cristallisation et Précipitation Industrielles, L'équipe Cristallogénèse du Laboratoire de Sciences et Méthodes Séparatives (SMS) - Université de Rouen; Université de Rouen, May 2016, Mont-Saint-Aignan, France. pp.07-1 à 07-8. ⟨hal-01327179⟩
    • Saïd Rahmani, Jean-Charles Pinoli, Johan Debayle. Characterization and Estimation of the Variations of a Random Convex Set by Its Mean n-Variogram: Application to the Boolean Model. Conférence GSI 2015 - "Geometric Science of Information", École Polytechnique - Université Paris-Saclay; SEE – Congress Société de l'Electricité, de l'Electronique et des Technologies de l'Information et de la Communication; THALES AIR SYSTEMS - Technical Directorate Advanced - Department Developments, Oct 2015, Palaiseau, France. pp.296-308, ⟨10.1007/978-3-319-25040-3_33⟩. ⟨emse-01241616⟩
    • Victor González-Castro, Johan Debayle, Yanal Wazaefi, Mehdi Rahim, Caroline Gaudy, et al.. Automatic classification of skin lesions using geometrical measurements of adaptive neighborhoods and local binary patterns. ICIP 2015 IEEE International Conference on Image Processing, IEEE Signal Processing Society, Sep 2015, Québec City, Canada. pp.1722 à 1726, ⟨10.1109/ICIP.2015.7351095⟩. ⟨emse-01226873⟩
    • Saïd Rahmani, Jean-Charles Pinoli, Johan Debayle. Estimation of the Geometrical Variations of the Typical Grain within a Boolean Model. International Conference - Geometry and Physics of Spatial Random Systems (GPSRS), Karlsruhe Institute of technology (KIT); Aarhus University; FAU Erlangen ; Murdoch University; DFG Research Group - Geometry and Physics of Spatial Random Systems, Sep 2015, Bad Herrenhalb, Germany. ⟨emse-01261395⟩
    • Rahmani Saïd, Jean-Charles Pinoli, Debayle Johan. Geometrical Stochastic Modeling and Characterization of 2-D Crystal Population. 14th International Congress for Stereology and Image Analysis - 14th ICSIA, the International Society for Stereology (ISS) the University of Liege (ULg) ; Université de Liege (ULg) Jul 2015, Liège, Belgium. pp.FA06. ⟨emse-01243152⟩
    • Victor Gonzalez-Castro, Johan Debayle, Yanal Wazaefi, Mehdi Rahim, Caroline Gaudy-Marqueste, et al.. Automatic classification of skin lesions using color mathematical morphology-based texture descriptors. Twelfth International Conference on Quality Control by Artificial Vision, Le2i - Laboratoire Electronique, Informatique et Image, Jun 2015, Le Creusot, France. pp.[9534-3] ; doi:10.1117/12.2182592. ⟨emse-01163688⟩
    • 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⟩
    • Saïd Rahmani, J-C Pinoli, Johan Debayle. Estimation des variations géométriques de grains anisotropes dans un modèle booléen.. 38ème journée ISS France - the International Society for Stereology (ISS 2015), Ecole des Mines de Paris, Feb 2015, Paris, France. ⟨emse-01263741⟩
    • Víctor González-Catro, Johan Debayle, Vladimir Ćurić. Pixel Classification using General Adaptive Neighborhood-based Features. 22nd International Conference on Pattern Recognition, Aug 2014, Stockholm, Sweden. pp. 3750-3755, ⟨10.1109/ICPR.2014.644⟩. ⟨hal-01070876⟩
    • Benoit Presles, Johan Debayle, Jean-Charles Pinoli. Stéréologie d'objets 3-D à partir de leurs projections 2-D. Application aux processus de cristallisation.. Orasis, Congrès des jeunes chercheurs en vision par ordinateur, Jun 2013, Cluny, France. ⟨hal-00829317⟩
    • Benoît Presles, Johan Debayle, Jean-Charles Pinoli. A novel projective stereological image analysis method to estimate particle size and shape distributions. 11th International Conference on Quality Control by Artificial Vision (QCAV 2013), May 2013, Fukuoka, Japan. ⟨hal-00933492⟩
    • Laura Dubuis, Pierre-Yves Rohan, Stéphane Avril, Pierre Badel, Johan Debayle. Patient-specific computational models: Tools for improving the efficiency of Medical Compression Stockings. International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Oct 2012, Nice, France. ⟨hal-00761911⟩
    • Johan Debayle, Jean-Charles Pinoli. 3D image filtering and segmentation using morphological tools. 6th European Congress on Computational Methods in Applied Sciences and Engineering ( ECCOMAS), Sep 2012, Vienne, Austria. ⟨hal-00777272⟩
    • Yvan Maillot, Benoît Presles, Johan Debayle. Shape reconstruction from an unorganized point cloud with outliers.. ICIAR 2012 9th International Conference, Jun 2012, Aveiro, Portugal. pp.261-268, ⟨10.1007/978-3-642-31295-3_31⟩. ⟨hal-00777717⟩
    • Laura Dubuis, Pierre-Yves Rohan, Stéphane Avril, Pierre Badel, Johan Debayle. Patient-specific FE model of the leg under elastic compression. 10th International Symposium on Computer Methods in Biomechanics and Biomedical Engineering, Apr 2012, Berlin, Germany. ⟨hal-00777369⟩
    • Séverine Rivollier, Johan Debayle, Jean-Charles Pinoli. Analyse morphométrique d'images à tons de gris par diagrammes de forme. RFIA 2012 (Reconnaissance des Formes et Intelligence Artificielle), Jan 2012, Lyon, France. pp.978-2-9539515-2-3. ⟨hal-00656536⟩
    • Laura Dubuis, Pierre-Yves Rohan, Stéphane Avril, Pierre Badel, Johan Debayle. Patient-specific FE model of the leg under elastic compression. 10th International Symposium on Computer Methods in Biomechanics and Biomedical Engineering, 2012, Berlin, Germany. pp.6. ⟨hal-01063768⟩
    • Ola Ahmad, Johan Debayle, Nesrine Gherras, Gilles Févotte, Jean-Charles Pinoli. Measuring the size distribution of acicular crystals by image analysis from in situ video probe. XIII° Congrès de la SFGP 2011 Société Française de Génie des Procédés : Des procédés au service du produit au coeur de l'Europe, Nov 2011, Lille, France. pp.N°403. ⟨hal-00658289⟩
    • Ola Ahmad, Nesrine Gherras, Johan Debayle, Benoît Presles, Gilles Févotte, et al.. Recognizing overlapped particles during a crystallization process from in situ video images for measuring their size distributions. ISIC 18 18th International Symposium on Industrial Crystallization, Sep 2011, Zurich, Switzerland. pp.190. ⟨hal-00656653⟩
    • 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⟩
    • Ola Ahmad, Johan Debayle, Nesrine Gherras, Benoît Presles, Jean-Charles Pinoli, et al.. Recognizing overlapped particles during a crystallization process from in situ video images for measuring their size distributions. Tenth International Conference on Quality Control by Artificial Vision QVAC 2011, Jun 2011, Saint Etienne, France. pp.8000-08, ⟨10.1117/12.890883⟩. ⟨hal-00614080⟩
    • Johan Debayle, Jean-Charles Pinoli. Caractérisation géométrique et vélocimétrique d'empilements granulaires par analyse d'image. 10e colloque national en calcul des structures, May 2011, Giens, France. pp.Clé USB. ⟨hal-00592721⟩
    • Laura Dubuis, Stéphane Avril, Pierre Badel, Johan Debayle. Identification des propriétés des tissus mous de la jambe sous compression élastique. 10e colloque national en calcul des structures, May 2011, Giens, France. pp.Clé USB. ⟨hal-00592737⟩
    • Séverine Rivollier, Johan Debayle, Jean-Charles Pinoli. Fonctionnelles et fonctions de Minkowski à voisinages adaptatifs généraux pour l'analyse des images à tons de gris. Groupe d'Etudes du Traitement du Signal et des Images, (GRETSI 2009), Sep 2010, Dijon, France. pp.2042/29071, ⟨10.4267/2042/29071⟩. ⟨hal-00509453⟩
    • Séverine Rivollier, Johan Debayle, Jean-Charles Pinoli. Shape representation and analysis of 2D compact sets by shape diagrams. IPTA 2010 (International Conference on Image Processing Theory, Tools and Applications), Jul 2010, Paris, France. ⟨hal-00509444⟩
    • Marthe Lagarrigue, Sandra Jacquier, Johan Debayle, Jean-Charles Pinoli, Frédéric Gruy. Caractérisation géométrique et optique de plusieurs types d'agrégats.. Cristal 6 - Cristallisation et Précipitation Industrielle, May 2010, Marseille, France. pp.324-330. ⟨hal-00967493⟩
    • Marthe Lagarrigue, Sandra Jacquier, Johan Debayle, Jean-Charles Pinoli, Frédéric Gruy. Multi-scale agglomerates: relationship between morphology and optical properties.. Proceedings World Congress of Particle Technology, Apr 2010, Nuremberg, Germany. ⟨hal-00967501⟩
    • Laura Dubuis, Stéphane Avril, Johan Debayle, Pierre Badel. Identification of the material parameters of soft tissues in the compressed leg. 9th Symposium on Computational Methods in Biomechanics and Biomedical Engineering, 2010, Valencia, Spain. p.6. ⟨hal-01063519⟩
    • Benoît Presles, Johan Debayle, Alain Rivoire, Jean-Charles Pinoli, Gilles Fevotte. In situ particle size measurements during crystallization processes using image analysis. XII ° Congrès de la Société Française de Génie des Procédés Pour relever les défis industriels du XXI° siècle A la croisée des Sciences et des Cultures, Oct 2009, Marseille, France. ⟨hal-00460280⟩
    • Séverine Rivollier, Johan Debayle, Jean-Charles Pinoli. General adaptive neighborhood-based Minkowski maps for gray-tone image analysis.. ECSIA 2009, 10th European Congress on Stereology and Image Analysis, Jun 2009, Milan, Italy. ⟨hal-00509728⟩
    • Séverine Rivollier, Johan Debayle, Jean-Charles Pinoli. Représentation intrinsèque multi-échelle des images à tons de gris par Voisinages Adaptatifs Généraux (VAG). 21° Colloque GRETSI 2007 (Groupe d'Etudes du Traitement du Signal et des Images), Sep 2007, Troyes, France. pp.2042/17622, ⟨10.4267/2042/17622⟩. ⟨hal-00509736⟩
    • Jérémie Pourchez, Philippe Grosseau, Emilie Rouèche-Pourchez, Johan Debayle, Jean-Charles Pinoli, et al.. Impact of cellulose ethers on the cement paste microstructure. 10th International Conference and Exhibition of the European Ceramic Society, Jun 2007, Berlin, Germany. pp.2045-2050. ⟨hal-00297256⟩
    • Johan Debayle, Yann Gavet, Jean-Charles Pinoli. General Adaptive Neighborhood Image Restoration, Enhancement and Segmentation. Image Analysis and Recognition, 2006, France. pp.29-40. ⟨hal-00128111⟩

  • Poster

    • Mathieu de Langlard, Fabrice Lamadie, Sophie Charton, Johan Debayle. Caractérisation morphométrique d’écoulements diphasiques par analyse d’image et géométrie aléatoire. XVIIème Congrès de la Société Française de Génie des Procédés (SFGP 2019), Oct 2019, Nantes, France. ⟨emse-02483521⟩
    • Victor González-Castro, Johan Debayle, Yanal Wazaefi, Mehdi Rahim, Caroline Gaudy, et al.. Automatic classification of skin lesions using geometrical measurements of adaptive neighborhoods and local binary patterns. ICIP 2015 IEEE International Conference on Image Processing, Sep 2015, Québec City, Canada. IEEE Xplore, IEEE Signal Processing Letters. ⟨emse-01228085⟩
    • Víctor González-Castro, Johan Debayle, Vladimir Ćurić. Pixel Classification using General Adaptive Neighborhood-based Features. Magnus Borga. ICPR 22nd International Conference on Pattern Recognition, Aug 2014, Stockholm, Sweden. IEEE Computer Society - CPS Conference Publishing Services, Proceedings : 22nd International Conference on Pattern Recognition, 2014. ⟨hal-01075025⟩

  • Ouvrage (y compris édition critique et traduction)


  • Chapitre d'ouvrage

    • 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⟩
    • Johan Debayle, Jean-Charles Pinoli. Spatially adaptive color image processing. M. Emre Celebi (emre.celebi@lsus.edu) ; Bogdan Smolka (bogdan.smolka@polsl.pl). Advances in low-level color image processing, Springer-Verlag, pp.195-222, 2014, Lecture Notes in Computational Vision and Biomechanics, Volume 11, 978-94-007-7583-1 // 978-94-007-7584-8. ⟨10.1007/978-94-007-7584-8_6⟩. ⟨hal-01013899⟩
    • Stéphane Avril, Pierre Badel, Laura Dubuis, Pierre-Yves Rohan, Johan Debayle, et al.. Patient specific modeling of leg compression in the treatment of venous deficiency.. Amit Gefen. Specific modeling in tomorrow's medicine, Springer-Verlag, 2012, Studies in mechanobiology, tissue engineering and biomaterials 09, ⟨10.1007/8415_2011_103.⟩. ⟨hal-00645499⟩
    • Johan Debayle, Jean-Charles Pinoli. General Adaptive Neighborhood Image Processing for biomedical applications. GAETANO D. GARGIULO ; ALISTAIR MC EWAN. Applied Biomedical Engineering, ISBN=978-953-307-256-2, Intech, pp.481-500, 2011. ⟨emse-00643706⟩
    • Johan Debayle, Jean-Charles Pinoli. Theory and applications of General Adaptive Neighborhood Image Processing (Chapitre 2). Peter W. Hawkes. Advances in Imaging and Electron Physics, Volume 167, ISBN: 978-0-12-385985-3, Elsevier, pp.121-183, 2011, ⟨10.1016/B978-0-12-385985-3.00002-X⟩. ⟨emse-00643592⟩

  • Thèse

    • Johan Debayle. Traitement d'image à voisinages adaptatifs généraux.. Traitement du signal et de l'image [eess.SP]. Ecole Nationale Supérieure des Mines de Saint-Etienne, 2005. Français. ⟨NNT : 383IVS⟩. ⟨tel-00749859⟩