Prof. Johan Debayle Profile

Prof. Johan Debayle

Professor at École des Mines de Saint-Étienne

SPIE Involvement:

Conference Program Committee | Editorial Board Member: Journal of Electronic Imaging | Editor | Author | Instructor

Area of Expertise:

Image Processing , Image Analysis , Mathematical Morphology , Pattern Analysis , Stochastic Geometry

Websites:

Personal Website

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

SPIE Journal Paper | 22 October 2022 Open Access

Special Section Guest Editorial: Image and Video Manipulation—Challenges and Solutions

Deepak Kumar Jain, Johan Debayle, Li Zhang, Vito Di Maio, Irshad Ahmed Ansari

JEI, Vol. 31, Issue 05, 051401, (October 2022) https://doi.org/10.1117/12.10.1117/1.JEI.31.5.051401

KEYWORDS: Video, Digital imaging, Web 2.0 technologies, Telecommunications, Multimedia, Medical imaging, Lithium, Intelligence systems, Image processing, Video processing

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SPIE Journal Paper | 22 October 2022 Open Access

Special Section Guest Editorial: Machine Vision—Systems, Methods, and Applications

Johan Debayle, Wolfgang Osten, Dmitry Nikolaev

JEI, Vol. 31, Issue 05, 051601, (October 2022) https://doi.org/10.1117/12.10.1117/1.JEI.31.5.051601

KEYWORDS: Machine vision, Image processing, RGB color model, Image segmentation, Image analysis, Tumors, Inspection, Digital image processing, Physics, Optical metrology

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SPIE Journal Paper | 8 July 2022

Segmentation and morphological analysis of wear track/particles images using machine learning

Alizée Bouchot, Amandine Ferrieux-Paquet, Guilhem Mollon, Sylvie Descartes, Johan Debayle

JEI, Vol. 31, Issue 05, 051605, (July 2022) https://doi.org/10.1117/12.10.1117/1.JEI.31.5.051605

KEYWORDS: Image segmentation, Particles, Morphological analysis, Image processing, Scanning electron microscopy, Machine learning, Image analysis, Databases, Image processing algorithms and systems, Data processing

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Proceedings Article | 16 July 2021 Paper

Towards a quantitative characterization of wear particles using image analysis and machine learning

Alizée Bouchot, Amandine Ferrieux-Paquet, Sylvie Descartes, Guilhem Mollon, Johan Debayle

Proceedings Volume 11794, 1179416 (2021) https://doi.org/10.1117/12.2587647

KEYWORDS: Machine learning, Image analysis, Particles, Image segmentation

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SPIE Journal Paper | 27 October 2020 Open Access

Combinatorial active contour bilateral filter for ultrasound image segmentation

Anan Nugroho, Risanuri Hidayat, Hanung Nugroho, Johan Debayle

JMI, Vol. 7, Issue 05, 057003, (October 2020) https://doi.org/10.1117/12.10.1117/1.JMI.7.5.057003

KEYWORDS: Image segmentation, Image filtering, Ultrasonography, Speckle, Image enhancement, Computer aided diagnosis and therapy, Breast, Visualization, Binary data, Switching

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Proceedings Article | 13 April 2018 Paper

Classification of time-series images using deep convolutional neural networks

Nima Hatami, Yann Gavet, Johan Debayle

Proceedings Volume 10696, 106960Y (2018) https://doi.org/10.1117/12.2309486

KEYWORDS: Image classification, Convolutional neural networks, Visualization, Feature extraction, Time series analysis, Signal processing, Pattern recognition

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Proceedings Article | 14 May 2017 Paper

3D geometrical characterization and modelling of solid oxide cells electrodes microstructure by image analysis

H. Moussaoui, J. Debayle, Y. Gavet, G. Delette, M. Hubert, P. Cloetens, J. Laurencin

Proceedings Volume 10338, 1033804 (2017) https://doi.org/10.1117/12.2264376

KEYWORDS: Hydrogen fuel cells, Mathematical morphology, Renewable energy, Hydrogen production, Hydrogen energy, Nickel, Optical spheres, X-rays, Electrodes, 3D modeling, 3D image processing, Modeling, Image analysis

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SPIE Journal Paper | 21 September 2015

Texture descriptors based on adaptive neighborhoods for classification of pigmented skin lesions

Victor González-Castro, Johan Debayle, Yanal Wazaefi, Mehdi Rahim, Caroline Gaudy-Marqueste, Jean-Jacques Grob, Bernard Fertil

JEI, Vol. 24, Issue 06, 061104, (September 2015) https://doi.org/10.1117/12.10.1117/1.JEI.24.6.061104

KEYWORDS: Gallium nitride, Skin, Image classification, Image segmentation, Melanoma, Tolerancing, RGB color model, Neurons, Binary data, Image processing

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Proceedings Article | 30 April 2015 Paper

Automatic classification of skin lesions using color mathematical morphology-based texture descriptors

Victor Gonzalez-Castro, Johan Debayle, Yanal Wazaefi, Mehdi Rahim, Caroline Gaudy-Marqueste, Jean-Jacques Grob, Bernard Fertil

Proceedings Volume 9534, 953409 (2015) https://doi.org/10.1117/12.2182592

KEYWORDS: Mathematical morphology, Skin, Image segmentation, Melanoma, Neurons, Skin cancer, Tolerancing, Image classification, Volume rendering, RGB color model

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SPIE Journal Paper | 10 May 2012

Quantification of overlapping polygonal-shaped particles based on a new segmentation method of in situ images during crystallization

Ola Suleiman Ahmad, Johan Debayle, Nesrine Gherras, Benoit Presles, Gilles Fevotte, Jean-Charles Pinoli

JEI, Vol. 21, Issue 2, 021115, (May 2012) https://doi.org/10.1117/12.10.1117/1.JEI.21.2.021115

KEYWORDS: Particles, Image segmentation, Crystals, Image processing, Corner detection, Solids, Video, In situ metrology, CCD cameras, Image analysis

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Proceedings Article | 12 July 2011 Paper

Recognizing overlapped particles during a crystallization process from in situ video images for measuring their size distributions

Ola Suleiman Ahmad, Johan Debayle, Nesrine Gherras, Benoît Presles, Gilles Févotte, Jean-Charles Pinoli

Proceedings Volume 8000, 800005 (2011) https://doi.org/10.1117/12.889915

KEYWORDS: Particles, Crystals, Image processing, Image segmentation, Solids, Corner detection, Video, Video processing, Visualization, Shape analysis

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SPIE Journal Paper | 1 July 2010

Novel image analysis method for in situ monitoring the particle size distribution of batch crystallization processes

Benoit Presles, Johan Debayle, Gilles Fevotte, Jean-Charles Pinoli

JEI, Vol. 19, Issue 3, 031207, (July 2010) https://doi.org/10.1117/12.10.1117/1.3462800

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Showing 5 of 12 publications

SPIE Conference Volume | 23 November 2022

International Symposium on Robotics, Artificial Intelligence, and Information Engineering (RAIIE 2022)

SPIE Conference Volume | 12 July 2011

Tenth International Conference on Quality Control by Artificial Vision

Conference Committee Involvement (11)

Multimodal Image Exploitation and Learning 2024

22 April 2024 | National Harbor, Maryland, United States

Multimodal Image Exploitation and Learning 2023

1 May 2023 | Orlando, Florida, United States

International Symposium on Robotics, Artificial Intelligence, and Information Engineering (RAIIE 2022)

15 July 2022 | Hohhot, China

Multimodal Image Exploitation and Learning 2022

4 April 2022 | Orlando, Florida, United States

International Conference on Machine Vision 2021

8 November 2021 |

Showing 5 of 11 Conference Committees

Course Instructor

SC1297: Morphological Image Processing: Principles and Applications

This course is an introduction to the principles and basic concepts of Mathematical Morphology (MM) with applications to digital image processing and analysis. MM is a collection of non-linear operators related to the shape of geometrical structures in an image. It familiarizes the audience with the understanding, design, and implementation of algorithms in the various sub-areas of morphological image processing such as filtering, segmentation, measurements, texture analysis, shape recognition and scene interpretation. Many relevant DCS application examples using such morphological image processing methods (from different imaging modalities) will complement the technical descriptions.

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