Johan Debayle

59 papers B 7C 5Journal 29Unranked 16
YearRankTypeTitle / Venue / Authors
2024 — conf
A stochastic 3D model based on random graphs to characterize the morphology of compact aggregates using image analysis.
ISIVC
Léo Théodon, Carole Coufort-Saudejaud, Johan Debayle
2024 J jnl
A stochastic model based on Gaussian random fields to characterize the morphology of granular objects.
Pattern Recognit.
Léo Théodon, Carole Coufort-Saudejaud, Johan Debayle
2024 J jnl
Enhancing EEG-Based Emotion Recognition Using Asymmetric Windowing Recurrence Plots.
IEEE Access
Dwi Wahyu Prabowo, Noor Akhmad Setiawan, Johan Debayle, Hanung Adi Nugroho
2024 J jnl
Monitoring of industrial crystallization processes through image sequence segmentation and characterization.
J. Electronic Imaging
Saïd Rahmani, Roger de Souza Lima, Eric Serris, Ana Cameirao, Johan Debayle
2023 J jnl
A systematic literature review of emotion recognition using EEG signals.
Cogn. Syst. Res.
Dwi Wahyu Prabowo, Hanung Adi Nugroho, Noor Akhmad Setiawan, Johan Debayle
2022 J jnl
A New LBP Variant: Corner Rhombus Shape LBP (CRSLBP).
J. Imaging
Ibtissam Al Saidi, Mohammed Rziza, Johan Debayle
2022 — conf
A stochastic 3D model for three-phase heterogeneous microstructures in SOFC-electrodes.
ISIVC
Léo Théodon, Jérôme Laurencin, Peter Cloetens, Johan Debayle
2022 — ed.
Artificial Intelligence and Data Science - First International Conference, ICAIDS 2021, Hyderabad, India, December 17-18, 2021, Revised Selected Papers
ICAIDS
Ashwani Kumar, Iztok Fister Jr., P. K. Gupta, Johan Debayle, Zuopeng Justin Zhang, Mohammed Usman
2022 J jnl
Segmentation and morphological analysis of wear track/particles images using machine learning.
J. Electronic Imaging
Alizée Bouchot, Amandine Ferrieux-Paquet, Guilhem Mollon, Sylvie Descartes, Johan Debayle
2022 J jnl
Special Section Guest Editorial: Image and Video Manipulation - Challenges and Solutions.
J. Electronic Imaging
Deepak Kumar Jain, Johan Debayle, Li Zhang, Vito Di Maio, Irshad Ahmed Ansari
2022 J jnl
Special Section Guest Editorial: Machine Vision - Systems, Methods, and Applications.
J. Electronic Imaging
Johan Debayle, Wolfgang Osten, Dmitry Nikolaev
2021 — conf
A novel texture descriptor: Homogeneous Rotated Local Binary Pattern (HRLBP).
ISIVC
Ibtissam Al Saidi, Mohammed Rziza, Johan Debayle
2021 — conf
Estimation of 3D geometrical properties of spheroid-like particle systems using projection images.
ISIVC
Mathieu De Langlard, Fabrice Lamadie, Sophie Charton, Johan Debayle
2021 — conf
Methods for assessing similarity of random sets.
ISIVC
Johan Debayle, Vesna Gotovac Dogas, Katerina Helisova, Jakub Stanek
2021 — conf
Numerical estimation of local Minkowski measures on Boolean models.
ISIVC
Tatyana Eremina, Johan Debayle, Frédéric Gruy, Jean-Charles Pinoli
2020 C conf
A Locally Weighted Metric for Measuring the Perceptual Quality of 3D Objects.
ISDA
Nessrine Elloumi, Johan Debayle, Habiba Loukil, Med Salim Bouhlel
2020 C conf
A New Texture Descriptor: The Homogeneous Local Binary Pattern (HLBP).
ICISP
Ibtissam Al Saidi, Mohammed Rziza, Johan Debayle
2019 J jnl
Bag of recurrence patterns representation for time-series classification.
Pattern Anal. Appl.
Nima Hatami, Yann Gavet, Johan Debayle
2018 J jnl
An efficiency improved recognition algorithm for highly overlapping ellipses: Application to dense bubbly flows.
Pattern Recognit. Lett.
Mathieu De Langlard, Hania Al Saddik, Sophie Charton, Johan Debayle, Fabrice Lamadie
2018 J jnl
Bag of Recurrence Patterns Representation for Time-Series Classification.
CoRR
Nima Hatami, Yann Gavet, Johan Debayle
2017 — conf
3D geometrical characterization and modelling of solid oxide cells electrodes microstructure by image analysis.
QCAV
Hamza Moussaoui, Johan Debayle, Yann Gavet, Gérard Delette, Maxime Hubert, Peter Cloetens, Jérôme Laurencin
2017 J jnl
Classification of Time-Series Images Using Deep Convolutional Neural Networks.
CoRR
Nima Hatami, Yann Gavet, Johan Debayle
2017 C conf
Classification of time-series images using deep convolutional neural networks.
ICMV
Nima Hatami, Yann Gavet, Johan Debayle
2016 B conf
A distance-based shape descriptor invariant to similitude and its application to shape classification.
ICPR
Benoît Presles, Johan Debayle
2016 B conf
A multiscale method for shape recognition of overlapping elliptical particles.
ICPR
Mathieu De Langlard, Hania Al Saddik, Fabrice Lamadie, Sophie Charton, Johan Debayle
2016 J jnl
Improved road centerlines extraction in high-resolution remote sensing images using shear transform, directional morphological filtering and enhanced broken lines connection.
J. Vis. Commun. Image Represent.
Ruyi Liu, Qiguang Miao, Bormin Huang, Jianfeng Song, Johan Debayle
2016 J jnl
Rigid image registration by General Adaptive Neighborhood matching.
Pattern Recognit.
Johan Debayle, Benoît Presles
2015 B conf
Automatic classification of skin lesions using geometrical measurements of adaptive neighborhoods and local binary patterns.
ICIP
Víctor González-Castro, Johan Debayle, Yanal Wazaefi, Mehdi Rahim, Caroline Gaudy, Jean-Jacques Grob, Bernard Fertil
2015 — conf
Characterization and Estimation of the Variations of a Random Convex Set by Its Mean n-Variogram: Application to the Boolean Model.
GSI
Saïd Rahmani, Jean-Charles Pinoli, Johan Debayle
2015 J jnl
Texture descriptors based on adaptive neighborhoods for classification of pigmented skin lesions.
J. Electronic Imaging
Víctor González-Castro, Johan Debayle, Yanal Wazaefi, Mehdi Rahim, Caroline Gaudy-Marqueste, Jean-Jacques Grob, Bernard Fertil
2015 — conf
The Color Logarithmic Image Processing (CoLIP) Antagonist Space and Chromaticity Diagram.
CCIW
Yann Gavet, Johan Debayle, Jean-Charles Pinoli
2014 J jnl
Adaptive Shape Diagrams for Multiscale Morphometrical Image Analysis.
J. Math. Imaging Vis.
Séverine Rivollier, Johan Debayle, Jean-Charles Pinoli
2014 J jnl
An Integrated Method for Urban Main-Road Centerline Extraction From Optical Remotely Sensed Imagery.
IEEE Trans. Geosci. Remote. Sens.
Wenzhong Shi, Zelang Miao, Johan Debayle
2014 J jnl
Color Adaptive Neighborhood Mathematical Morphology and its application to pixel-level classification.
Pattern Recognit. Lett.
Víctor González-Castro, Johan Debayle, Jean-Charles Pinoli
2014 J jnl
Dissimilarity criteria and their comparison for quantitative evaluation of image segmentation: application to human retina vessels.
Mach. Vis. Appl.
Yann Gavet, Mathieu Fernandes, Johan Debayle, Jean-Charles Pinoli
2014 B conf
Pixel Classification Using General Adaptive Neighborhood-Based Features.
ICPR
Víctor González-Castro, Johan Debayle, Vladimir Curic
2012 J jnl
Adaptive generalized metrics, distance maps and nearest neighbor transforms on gray tone images.
Pattern Recognit.
Jean-Charles Pinoli, Johan Debayle
2012 J jnl
Quantification of overlapping polygonal-shaped particles based on a new segmentation method of in situ images during crystallization.
J. Electronic Imaging
Ola Suleiman Ahmad, Johan Debayle, Nesrine Gherras, Benoît Presles, Gilles Févotte, Jean-Charles Pinoli
2012 — conf
Shape Reconstruction from an Unorganized Point Cloud with Outliers.
ICIAR (1)
Yvan Maillot, Benoît Presles, Johan Debayle
2012 B conf
Shape recognition from shadows of 3-D convex geometrical objects.
ICIP
Benoît Presles, Johan Debayle, Jean-Charles Pinoli
2012 J jnl
Spatially and Intensity Adaptive Morphology.
IEEE J. Sel. Top. Signal Process.
Jean-Charles Pinoli, Johan Debayle
2011 J jnl
A geometric-based method for recognizing overlapping polygonal-shaped and semi-transparent particles in gray tone images.
Pattern Recognit. Lett.
Ola Suleiman Ahmad, Johan Debayle, Jean-Charles Pinoli
2011 — conf
Automatic Recognition of 2D Shapes from a Set of Points.
ICIAR (1)
Benoît Presles, Johan Debayle, Yvan Maillot, Jean-Charles Pinoli
2011 C conf
Color correction in the framework of Color Logarithmic Image Processing.
ISPA
Helene Gouinaud, Yann Gavet, Johan Debayle, Jean-Charles Pinoli
2011 C conf
General Adaptive Neighborhood Viscous Mathematical Morphology.
ISMM
Johan Debayle, Jean-Charles Pinoli
2011 J jnl
General Adaptive Neighborhood-Based Pretopological Image Filtering.
J. Math. Imaging Vis.
Johan Debayle, Jean-Charles Pinoli
2011 B conf
General adaptive distance transforms on gray tone images: Application to image segmentation.
ICIP
Jean-Charles Pinoli, Johan Debayle
2010 — conf
Geometrical Characterization of Various Shaped 3D-Aggregates of Primary Spherical Particules by Radial Distribution Functions.
ICIAR (2)
Marthe Lagarrigue, Johan Debayle, Sandra Jacquier, Frédéric Gruy, Jean-Charles Pinoli
2010 J jnl
Novel image analysis method for in situ monitoring the particle size distribution of batch crystallization processes.
J. Electronic Imaging
Benoît Presles, Johan Debayle, Gilles Févotte, Jean-Charles Pinoli
2010 — conf
Shape representation and analysis of 2D compact sets by shape diagrams.
IPTA
Séverine Rivollier, Johan Debayle, Jean-Charles Pinoli
2010 — conf
Volume estimation of 3D particles with known convex shapes from its projected areas.
IPTA
Benoît Presles, Johan Debayle, Ana Cameirao, Gilles Févotte, Jean-Charles Pinoli
2009 J jnl
General Adaptive Neighborhood Choquet Image Filtering.
J. Math. Imaging Vis.
Johan Debayle, Jean-Charles Pinoli
2009 B conf
General Adaptive Neighborhood Mathematical Morphology.
ICIP
Jean-Charles Pinoli, Johan Debayle
2007 J jnl
Logarithmic Adaptive Neighborhood Image Processing (LANIP): Introduction, Connections to Human Brightness Perception, and Application Issues.
EURASIP J. Adv. Signal Process.
Jean-Charles Pinoli, Johan Debayle
2006 J jnl
General Adaptive Neighborhood Image Processing.
J. Math. Imaging Vis.
Johan Debayle, Jean-Charles Pinoli
2006 J jnl
General Adaptive Neighborhood Image Processing: .
J. Math. Imaging Vis.
Johan Debayle, Jean-Charles Pinoli
2006 — conf
General Adaptive Neighborhood Image Restoration, Enhancement and Segmentation.
ICIAR (1)
Johan Debayle, Yann Gavet, Jean-Charles Pinoli
2005 — conf
Multiscale image filtering and segmentation by means of adaptive neighborhood mathematical morphology.
ICIP (3)
Johan Debayle, Jean-Charles Pinoli
2005 — —
Traitement d'image à voisinages adaptatifs généraux. (Image processing with general adaptive neighborhoods (GANs)).
Johan Debayle