Prof. Johan Debayle
Ecole Nationale Supérieure des Mines, Saint-Etienne, France
Image Processing, Analysis and Modeling of Particle Populations
Particle populations are widely used in many industrial applications and fields of science from physics to biology or agronomy. In chemical engineering, in particular, it is generally desired to extract information on geometrical characteristics and on spatial distribution from 2D images of the population of particles involved in the process. For example in pharmaceutics, the size and the shape of crystals of active ingredients are known to have a considerable impact on the final quality of products, such as drugs. Hence, it is of main importance to be able to control in real time the granulometry (size and shape) of the crystals during the process. The purpose of this talk is then to show different ways (deterministic and stochastic methods) of image processing, analysis and modeling to geometrically characterize the particles from a sequence of 2-D images acquired by a camera (visualizing the particles during a particular process). The developed methods will be presented by addressing different issues: the perspective projection of the 3-D particle shape onto the image plane, the blurred appearance of unfocused particles, the degree of agglomeration or overlapping, and the random variation in size/shape of the observed particles. The methods are mainly based on image enhancement, restoration, segmentation, tracking, modeling, feature detection, stereology, stochastic geometry, pattern analysis and recognition. The methods will be particularly illustrated on real applications of crystallization processes (for pharmaceutics industry), multiphase flow processes (for nuclear industry) and material design processes (for energy industry).
Prof. Johan Debayle received his M.Sc., Ph.D. and Habilitation degrees in the field of image processing and analysis, in 2002, 2005 and 2012 respectively. Currently, he is a Full Professor at the Ecole Nationale Supérieure des Mines de Saint- Etienne (MINES Saint-Etienne) in France, within the SPIN Center and the LGF Laboratory, UMR CNRS 5307, where he leads the PMDM Department interested in image analysis of granular media. In 2015, he was a Visiting Researcher for 3 months at the ITWM Fraunhofer / University of Kaisersleutern in Germany. In 2017 and 2019, he was invited as Guest Lecturer at the University Gadjah Mada, Yogyakarta, Indonesia. He was also Invited Professor at the University of Puebla in Mexico in 2018, 2019 and 2020. He is the Head of the Master of Science in Mathematical Imaging and Spatial Pattern Analysis (MISPA) at MINES Saint-Etienne. His research interests include image processing and analysis, pattern recognition and stochastic geometry. He published more than 130 international papers in international journals and conference proceedings and served as Program committee member in several international conferences (IEEE ICIP, MICCAI, ICIAR...). He has been invited to give a keynote talk in several international conferences (SPIE ICMV, IEEE ISIVC, IEEE SETIT, SPIE-IS&T EI, SPIE DCS, CIMA, ICST...). He has been involved as Instructor and Visiting Lecturer with SPIE. He is Associate Editor for 3 international journals: Pattern Analysis and Applications (Springer), Journal of Electronic Imaging (SPIE) and Image Analysis and Stereology (ISSIA). He is the General Chair of the International Conferences ISIVC’2020 (International Symposium on Signal, Image, Video and Communications) and ECSIA’2021 (European Conference on Stereology and Image Analysis). He is a member of the International Society for Optics and Photonics (SPIE), International Society for Stereology and Image Analysis (ISSIA), International Association for Pattern Recognition (IAPR), Member of the Executive Board of AFRIF (IAPR France Section), Senior Member of the Institute of Electrical and Electronics Engineers (IEEE) and Vice- President Membership for the IEEE France Section.