JD Prof. Johan Debayle

FIET, FIACSIT, FISAC, FETDIS, SMIEEE

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Articles in journal, book chapters

2024

  1. A. Bouchot, A. Ferrieux, J. Debayle, G. Mollon, and S. Descartes. Can Machine Learning Predict Friction from Third Body Morphology?. Tribology International, 2024. Note: Accepted paper. [bibtex-entry]
  2. L. Théodon, C. Coufort-Saudejaud, and J. Debayle. A stochastic model based on Gaussian random fields to characterize the morphology of granular objects. Pattern Recognition, 149:110255, 2024. [bibtex-entry]

2023

  1. I. Al Saidi, M. Rziza, and J. Debayle. Completed homogeneous LBP for remote sensing image classification. International Journal of Remote Sensing, 44(12):3815-3836, 2023. [bibtex-entry]
  2. K. Dia, F. Lamadie, and J. Debayle. Retrieving mean volumetric properties of multiphase flows from 2D images: A new approach combining deep learning algorithms and 3D modelling. Chemical Engineering Science, 279(118933):1-12, 2023. [bibtex-entry]
  3. A Kumar, J. Debayle, and J. Zhang. Special Section Guest Editorial: Exploration of Vigorous Privacy Preserving Models using Deep Learning in Digital Media. Advances in Multimedia, 2023. [bibtex-entry]
  4. D.-W. Prabowo, H. Nugroho, N.-A. Setiawan, and J. Debayle. A systematic literature review of emotion recognition using EEG signals. Cognitive Systems Research, 82(11152), 2023. [bibtex-entry]
  5. D.-W. Prabowo, N.-A. Setiawan, J. Debayle, and H. Nugroho. Asymmetric Windowing Recurrence Plots on Input Formulation for Human Emotion Recognition. TechRxiv, December 2023. [bibtex-entry]
  6. M. Prioux, E. Da Rosa Silva, M. Hubert, J. Vulliet, J. Debayle, P. Cloetens, and J. Laurencin. Numerical Microstructural Optimization for the Hydrogen Electrode of Solid Oxide Cells. Fuel Cells, 2023. [bibtex-entry]
  7. L. Théodon, C. Coufort-Saudejaud, and J. Debayle. GRAPE: A stochastic geometrical 3d model for aggregates of particles with tunable 2d morphological projected properties. Image Analysis and Stereology, 42(1):1-16, 2023. [bibtex-entry]
  8. L. Théodon, J. Debayle, and C. Coufort-Saudejaud. Morphological characterization of aggregates and agglomerates by image analysis: A systematic literature review. Powder Technology, 430(119033):1-23, 2023. [bibtex-entry]

2022

  1. A. Abaza, J. Laurencin, A. Nakajo, Meille S, J. Debayle, and Leguillon D.. Prediction of crack nucleation and propagation in porous ceramics using the phase-field approach. Theoretical and Applied Fracture Mechanics, 119(103349):1-15, 2022. [bibtex-entry]
  2. A. Bouchot, A. Ferrieux-Paquet, G. Mollon, S. Descartes, and J. Debayle. Segmentation and morphological analysis of wear track/particles images using machine learning. Journal of Electronic Imaging, 31(5(051605)), 2022. [bibtex-entry]
  3. J. Debayle, W. Osten, and D. Nikolaev. Special Section Guest Editorial: Machine Vision - Systems, Methods, and Applications. Journal of Electronic Imaging, 31(5):051601, 2022. [bibtex-entry]
  4. D.K. Jain, J. Debayle, L. Zhang, V. Di Maio, and I.A. Ansari. Special Section Guest Editorial: Image and Video Manipulation - Challenges and Solutions. Journal of Electronic Imaging, 31(5):051401, 2022. [bibtex-entry]
  5. L. Théodon, J. Laurencin, M. Hubert, P. Cloetens, and J. Debayle. A stochastic geometrical 3D model for time evolution simulation of microstructures in SOC-electrodes. Computational Materials Science, 212(111568):1-10, 2022. [bibtex-entry]
  6. A. Kumar, I. Fister Jr., P.-K. Gupta, J. Debayle, Z.-J. Zhang, and M. Usman. , chapter Preface: 3rd International Conference on Neural Networks, Information and Communication Engineering (NNICE), pages 1-2. Guangzhou, China, 2022. [bibtex-entry]

2021

  1. A. Bouchot, A. Ferrieux, J. Debayle, G. Mollon, and S. Descartes. Image processing applied to tribological dry contact analysis. Wear, 2021. Note: In Press. [bibtex-entry]
  2. M. De Langlard, F. Lamadie, S. Charton, and J. Debayle. Bayesian inference of a parametric random spheroid from its orthogonal projection. Methodology and Computing in Applied Probability, 23:549-567, 2021. [bibtex-entry]
  3. J. Debayle, V. Gotovac Dogas, K. Helisova, J. Stanek, and M. Zikmundova. Assessing Similarity of Random sets via Skeletons. Methodology and Computing in Applied Probability, 23:471-490, 2021. [bibtex-entry]
  4. T. Eremina, J. Debayle, and J. C. Pinoli. Local measures distribution for the estimation of the elongation ratio of the typical grain in homogeneous Boolean models. Image Analysis and Stereology, 40:95-103, 2021. [bibtex-entry]
  5. A.S. Ibtissam, M. Rziza, and J. Debayle. A novel texture descriptor: circular parts local binary pattern. Image Analysis and Stereology, 40:105-114, 2021. [bibtex-entry]
  6. M. M. Javier, C. C. Galvan, Lopez R. L., and J. Debayle. On the properties of some adaptive morphological filters for salt and pepper noise removal. Image Analysis and Stereology, 40:29-38, 2021. [bibtex-entry]
  7. A. Nugroho, R. Hidayat, H. A. Nugroho, and J. Debayle. Ultrasound object detection using morphological region-based active contour: an application system. International Journal of Innovation and Learning, 29(4):412-430, 2021. [bibtex-entry]
  8. L. Théodon, T. Eremina, K. Dia, F. Lamadie, J.-C. Pinoli, and J. Debayle. Estimating the parameters of a stochastic geometrical model for multiphase flow images using local measures. Image Analysis and Steroleogy, 40(3):115-125, 2021. [bibtex-entry]

2020

  1. H. Moussaoui, J. Debayle, Y. Gavet, P. Cloetens, and J. Laurencin. Particle-based model for functional and diffusion layers of solid oxide cells electrodes. Powder Technology, 367:67-81, 2020. [bibtex-entry]
  2. A. Nugroho, R. Hidayat, H. A. Nugroho, and J. Debayle. Combinatorial active contour bilateral filter for ultrasound image segmentation. SPIE Journal of Medical Imaging, 7(5):057003, 2020. [bibtex-entry]

2019

  1. J. Debayle. Geometrical and morphometrical tools for the inclusion analysis of metallic alloys. Metallurgical Research and Technology, 116(508):1-10, 2019. [bibtex-entry]
  2. E. Effori, H. Moussaoui, F. Monaco, R. Sharma, J. Debayle, Y. Gavet, G. Delette, G. Si Larbi, E. Siebert, J. Vulliet, L. Dessemond, and J. Laurencin. Reaction mechanism and impact of microstructure on performances for the LSCF-CGO composite electrode in Solid Oxide Cells. Fuel Cells, 19(4):429-444, 2019. [bibtex-entry]
  3. N. Hatami, Y. Gavet, and J. Debayle. Bag of Recurrence Patterns Representation for Time-Series Classification. Pattern Analysis and Applications, 22(3):877-887, 2019. [bibtex-entry]
  4. H. Moussaoui, J. Laurencin, M. Hubert, R. Sharma, P. Cloetens, G. Delette, Y. Gavet, and J. Debayle. Stochastic Geometrical and Microstructural Modeling for Solid Oxide Cell Electrodes. ECS Transactions, 91(1):2031-2043, 2019. [bibtex-entry]
  5. H. Moussaoui, R. Sharma, J. Debayle, Y. Gavet, G. Delette, and J. Laurencin. Microstructural correlations for specific surface area and triple phase boundary length for composite electrodes of solid oxide cells. Journal of Power Sources, 412:736-748, 2019. [bibtex-entry]

2018

  1. M. De Langlard, H. Al Saddik, S. Charton, J. Debayle, and F. Lamadie. An efficiency improved recognition algorithm for highly overlapping ellipses: Application to dense bubbly flows. Pattern Recognition Letters, 101:88-95, 2018. [bibtex-entry]
  2. M. De Langlard, F. Lamadie, S. Charton, and J. Debayle. A 3D stochastic model for geometrical characterization of particles in two-phase flow applications. Image Analysis and Stereology, 37(3):233-247, 2018. [bibtex-entry]
  3. H. Moussaoui, J. Laurencin, Y. Gavet, G. Delette, M. Hubert, P. Cloetens, T. Le Bihan, and J. Debayle. Stochastic geometrical modeling of solid oxide cells electrodes validated on 3D reconstructions. Computational Materials Science, 143:262-276, 2018. [bibtex-entry]

2017

  1. S. Rahmani, J. C. Pinoli, and J. Debayle. Description of the the symmetric convex random closed sets as zonotopes from their Feret's diameters. Modern Stochastics: Theory and Applications, 3(4):325-364, 2017. [bibtex-entry]

2016

  1. J. Debayle and B. Presles. Rigid Image Registration by General Adaptive Neighborhood Matching. Pattern Recognition, 55:45-57, 2016. [bibtex-entry]
  2. R. Liu, Q. Miao, B. Huang, J. Song, and J. 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, 40:300-311, 2016. [bibtex-entry]

2015

  1. V. Gonzalez-Castro, J. Debayle, Y. Wazaefi, M. Rahim, C. Gaudy, J. J. Grob, and B. Fertil. Texture descriptors based on adaptive neighborhoods for classification of pigmented skin lesions. Journal of Electronic Imaging, 24(6):061104/1-9, 2015. [bibtex-entry]
  2. Y. Gavet, J. Debayle, and J. C. Pinoli. Color Image and Video Enhancement, chapter The Color Logarithmic Image Processing (CoLIP) antagonist space with application to image enhancement, pages 1-28. Springer, 2015. Note: Book Chapter. Keyword(s): color image processing, color space, logarithmic image processing, image enhancement. [bibtex-entry]

2014

  1. Y. Gavet, M. Fernandes, J. Debayle, and J. C. Pinoli. Dissimilarity criteria and their comparison for quantitative evaluation of image segmentation. Application to human retina vessels. Machine Vision and Applications, 25(8):1953-1966, 2014. Keyword(s): image segmentation, quantitative evaluation, segmentation evaluation, dissimilarity criteria, retinal blood vessels. [bibtex-entry]
  2. V. Gonzalez-Castro, J. Debayle, and J. C. Pinoli. Color adaptive neighborhood mathematical morphology and its application to pixel-level classification. Pattern Recognition Letters, 47(1):50-62, 2014. Keyword(s): mathematical morphology, general adaptive neighborhood, classification, color spaces, neural networks, integral geometry, Minkowski functionals. [bibtex-entry]
  3. S. Rivollier, J. Debayle, and J. C. Pinoli. Adaptive shape diagrams for multiscale morphometrical image analysis. Journal of Mathematical Imaging and Vision, 49(1):51-68, 2014. Keyword(s): general adaptive neighborhood, mathematical morphology, multiscale analysis, pattern analysis, shape diagram. [bibtex-entry]
  4. W. Shi, Z. Miao, and J. Debayle. An Integrated Method for Urban Main Road Centreline Extraction from Optical Remotely Sensed Imagery. IEEE Transactions on Geoscience and Remote Sensing, 52(6):3359-3372, 2014. Keyword(s): general adaptive neighborhood, multispectral imaging, pattern recognition. [bibtex-entry]
  5. J. Debayle and J. C. Pinoli. Advances in Low-Level Color Image Processing, chapter Spatially Adaptive Color Image Processing, pages 195-222. Springer, 2014. Note: Book Chapter. Keyword(s): adaptive image processing, color image processing, Choquet filtering, general adaptive neighborhood, image enhancement, image restoration, image segmentation, mathematical morphology. [bibtex-entry]

2013

  1. L Dubuis, P. Y. Rohan, S. Avril, P. Badel, and J. Debayle. Computational Biomechanics for Medicine, chapter Patient-Specific Computational Models: Tools for Improving the Efficiency of Medical Compression Stockings, pages 25-37. Springer, 2013. Note: Book Chapter. Keyword(s): biomechanics, elastic compression, finite-element method, image registration, inverse method. [bibtex-entry]

2012

  1. O. Ahmad, J. Debayle, N. Gherras, B. Presles, G. Fevotte, and J. C. Pinoli. Quantification of overlapping polygonal-shaped particles based on a new segmentation method of in situ images during crystallization. Journal of Electronic Imaging, 21(2):1-12, 2012. Keyword(s): crystallization, clustering, overlapping particles, salient corner detection, particle size distribution, pattern recognition. [bibtex-entry]
  2. L. Dubuis, S. Avril, J. Debayle, and P. Badel. Identification of the material parameters of soft tissues in the compressed leg. Computer Methods in Biomechanics and Biomedical Engineering, 15(1):3-12, 2012. Keyword(s): biomechanics, elastic compression, finite-element method, image registration, inverse method. [bibtex-entry]
  3. M. Lagarrigue, S. Jacquier, J. Debayle, and F. Pinoli J. C.and Gruy. Approximation for the light scattering cross section of optically hard aggregates. Journal of Quantitative Spectroscopy and Radiative Transfer, 113(9):704-714, 2012. Keyword(s): pattern analysis, light scattering cross-section, aggregate. [bibtex-entry]
  4. J. C. Pinoli and J. Debayle. Adaptive Generalized Metrics, Distance Maps and Nearest Neighbor Transforms on Gray Tone Images. Pattern Recognition, 45:2758-2768, 2012. Keyword(s): general adaptive neighborhood, distance maps, generalized metrics. [bibtex-entry]
  5. J. C. Pinoli and J. Debayle. Spatially and intensity adaptive morphology. IEEE Journal of Selected Topics in Signal Processing, 6(7):820-829, 2012. Note: Special Issue on Filtering and Segmentation in Mathematical Morphology. Keyword(s): general adaptive neighborhood, image enhancement, image restoration, mathematical morphology, semi-flat morphology, stack filtering, viscous filtering. [bibtex-entry]
  6. B. Presles, J. Debayle, and J. C. Pinoli. Size and shape estimation of 3-D convex objects from their 2-D projections. Application to crystallization processes. Journal of Microscopy, 248(2):140-155, 2012. Keyword(s): crystallization, pattern analysis, pattern recognition, projected areas, shape diagram, particle size distribution, stereology. [bibtex-entry]

2011

  1. O. Ahmad, J. Debayle, and J. C. Pinoli. A geometric-based method for recognizing overlapping polygonal-shaped and semi-transparent particles in gray tone images. Pattern Recognition Letters, 32(15):2068-2079, 2011. Keyword(s): salient corner detection, contour detection, clustering method, overlapping particles. [bibtex-entry]
  2. J. Debayle and J. C. Pinoli. General Adaptive Neighborhood-based Pretopological Image Filtering. Journal of Mathematical Imaging and Vision, 41(3):210-221, 2011. Keyword(s): general adaptive neighborhood, image enhancement, image restoration, pretopology, viscous filtering. [bibtex-entry]
  3. S. Avril, P. Badel, L. Dubuis, J. Debayle, S. Couzan, and J. F. Pouget. Patient-Specific Modeling in Tomorrow's Medicine, chapter Patient specific modeling in venous deficiency. Springer-Verlag, 2011. Note: Book Chapter. Keyword(s): biomechanics, elastic compression, finite-element method, image registration, inverse method. [bibtex-entry]
  4. J. Debayle and J. C. Pinoli. Advances in Imaging and Electron Physics, volume 167, chapter Theory and Applications of General Adaptive Neighborhood Image Processing, pages 121-183. Elsevier, 2011. Note: Book Chapter. Keyword(s): adaptive fuzzy measure, adaptive grey-tone generalized metric, adaptive structuring element, analyzing criterion, Choquet filtering, distance transform, general adaptive neighborhood, general linear image processing, human visual perception, image enhancement, image multiscale decomposition, image restoration, image segmentation, intrinsic scales, mathematical morphology, transmitted light. [bibtex-entry]
  5. J. Debayle and J. C. Pinoli. Applied Biomedical Engineering, chapter General Adaptive Neighborhood Image Processing for Biomedical Applications, pages 481-500. InTech, 2011. Note: Book Chapter. Keyword(s): adaptive image processing, Choquet filtering, general adaptive neighborhood, image enhancement, image restoration, image segmentation, mathematical morphology. [bibtex-entry]

2010

  1. J. Pourchez, B. Ruot, J. Debayle, E. Pourchez, and P. Grosseau. Some aspects of cellulose ethers influence on water transport and porous structure of cement-based materials. Cement and Concrete Research, 40(2):242-252, 2010. Keyword(s): multiscale analysis, size distribution. [bibtex-entry]
  2. B. Presles, J. Debayle, G. Fevotte, and J. C. Pinoli. A novel image analysis method for in-situ monitoring the particle size distribution of batch crystallization processes. Journal of Electronic Imaging, 19(3):1-7, 2010. Note: Special Section on Quality Control by Artificial Vision. Keyword(s): crystallization, deconvolution, pattern analysis, segmentation, particle size distribution. [bibtex-entry]
  3. S. Rivollier, J. Debayle, and J. C. Pinoli. Integral Geometry and General Adaptive Neighborhood for Multiscale Image Analysis. International Journal of Signal and Image Processing, 1(3):141-150, 2010. Keyword(s): general adaptive neighborhood, Minkowski functionals, Minkowski maps, multiscale analysis. [bibtex-entry]
  4. S. Rivollier, J. Debayle, and J. C. Pinoli. Shape diagrams for 2D compact sets - Part I: analytic convex sets. Australian Journal of Mathematical Analysis and Applications, 7(2-3):1-27, 2010. Keyword(s): pattern analysis, shape diagram. [bibtex-entry]
  5. S. Rivollier, J. Debayle, and J. C. Pinoli. Shape diagrams for 2D compact sets - Part II: analytic simply connected sets. Australian Journal of Mathematical Analysis and Applications, 7(2-4):1-21, 2010. Keyword(s): pattern analysis, shape diagram. [bibtex-entry]
  6. S. Rivollier, J. Debayle, and J. C. 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, 7(2-5):1-18, 2010. Keyword(s): pattern analysis, shape diagram. [bibtex-entry]

2009

  1. J. Debayle and J. C. Pinoli. General Adaptive Neighborhood Choquet Image Filtering. Journal of Mathematical Imaging and Vision, 35(3):173-185, November 2009. Keyword(s): Choquet filtering, fuzzy measure, general adaptive neighborhood, image restoration. [bibtex-entry]
  2. J. Debayle, A. Raihane, A. Belhaoua, O. Bonnefoy, G. Thomas, J. M. Chaix, and J. C. Pinoli. Velocity field computation in vibrated granular media using an optical flow based multiscale image analysis method. Image Analysis and Stereology, 28:35-43, March 2009. Keyword(s): grain motion, granular media, horizontal vibrations, multiscale analysis, optical flow, velocity field. [bibtex-entry]

2007

  1. J. C. Pinoli and J. Debayle. Logarithmic Adaptive Neighborhood Image Processing (LANIP): Introduction, Connections to Human Brightness Perception and Application Issues. EURASIP Journal on Advances in Signal Processing, 2007(Article ID 36105):1-22, 2007. Note: Special Issue on Image Perception. Keyword(s): general adaptive neighborhood, mathematical morphology, logarithmic image processing. [bibtex-entry]

2006

  1. J. Debayle and J. C. Pinoli. General Adaptive Neighborhood Image Processing - Part I: Introduction and Theoretical Aspects. Journal of Mathematical Imaging and Vision, 25(2):245-266, September 2006. Keyword(s): general adaptive neighborhood, mathematical morphology, algebraic models, logarithmic image processing. [bibtex-entry]
  2. J. Debayle and J. C. Pinoli. General Adaptive Neighborhood Image Processing - Part II: Practical Application Examples. Journal of Mathematical Imaging and Vision, 25(2):267-284, September 2006. Keyword(s): general adaptive neighborhood, mathematical morphology, algebraic models, logarithmic image processing. [bibtex-entry]

2005

  1. J. Debayle and J. C. Pinoli. Spatially Adaptive Morphological Image Filtering using Intrinsic Structuring Elements. Image Analysis and Stereology, 24(3):145-158, November 2005. Keyword(s): adaptive neighborhood, mathematical morphology. [bibtex-entry]

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Last modified: Mon Mar 25 09:29:30 2024
Author: debayle

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