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4. 3D reconstruction of mirror-like surfaces by smart deflectometry

Author

David Fofi, Olivier Aubreton, Lisa Poirier-Herbeck, Equipe VIBOT - VIsion pour la roBOTique [ImViA EA7535 - ERL CNRS 6000] (VIBOT), Centre National de la Recherche Scientifique (CNRS)-Imagerie et Vision Artificielle [Dijon] (ImViA), Université de Bourgogne (UB)-Université de Bourgogne (UB), Laboratoire d'Electronique, d'Informatique et d'Image [EA 7508] (Le2i), Université de Technologie de Belfort-Montbeliard (UTBM)-Université de Bourgogne (UB)-École Nationale Supérieure d'Arts et Métiers (ENSAM), Arts et Métiers Sciences et Technologies, HESAM Université (HESAM)-HESAM Université (HESAM)-Arts et Métiers Sciences et Technologies, HESAM Université (HESAM)-HESAM Université (HESAM)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Centre National de la Recherche Scientifique (CNRS), Laboratoire Electronique, Informatique et Image [UMR6306] (Le2i), Université de Bourgogne (UB)-Centre National de la Recherche Scientifique (CNRS)-École Nationale Supérieure d'Arts et Métiers (ENSAM), and HESAM Université (HESAM)-HESAM Université (HESAM)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement

Subjects
mirror-like, business.industry, Computer science, deflectometry, 3D reconstruction, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], 02 engineering and technology, 021001 nanoscience & nanotechnology, 01 natural sciences, 010309 optics, Optics, 0103 physical sciences, specular, 0210 nano-technology, business, ComputingMethodologies_COMPUTERGRAPHICS
Abstract

International audience; Specular and mirror-like surfaces are difficult to reconstruct by the fact that light of the surrounding environment is reflected off the surface. Nowadays, it is still a challenge in many application fields to get a fast and accurate reconstruction of specular objects. 3D acquisition by deflectometry involves estimating the 3D profile of a specular surface by analyzing the image of a light source or a pattern captured by a camera after reflection on the surface. These techniques require the knowledge of the location and the orientation of the camera and the orientation of the light source. If camera calibration is a process widely known and controlled and guaranteeing good accuracy, estimating the orientation of the light source is still an issue. We propose to overcome it by using a light source whose the color changes according to the orientation. Indeed, we implement a vision system of light source's position recognition by the color in simulation with the 3D computer graphics software Blender, we define a calibration technique and we suggest some possible light sources to export our simulated vision system to reality. Plus, we explore the potential benefit of light field in order to model such a system.

Published
2021
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5. Polarimetric imaging method for surface quality evaluation of a liquid metal pool obtained during welding

Author

Antoine Mannucci, Abir Zanzouri Kechiche, Alexandre Mathieu, Christophe Stolz, and Olivier Aubreton

Subjects
Liquid metal, Materials science, business.industry, General Engineering, Energy-dispersive X-ray spectroscopy, Context (language use), 02 engineering and technology, Welding, 01 natural sciences, Atomic and Molecular Physics, and Optics, law.invention, 010309 optics, symbols.namesake, 020210 optoelectronics & photonics, Optics, law, 0103 physical sciences, Thermal, 0202 electrical engineering, electronic engineering, information engineering, Weld pool, symbols, Stokes parameters, Arc welding, business
Abstract

Conventional methods used to inspect the molten pool surface induced by arc welding processes are based on post-welding evaluation using destructive or semi-destructive testing methods. Many attempts were performed to develop alternative and nondestructive tests. In this context, a polarimetric vision methodology is evaluated. The polarimetric parameters are measured from the thermal radiations emitted by the hot liquid metal at a wavelength within an arc plasma blind spectral window. The Stokes parameters and their segmentation within a Gaussian mixture model allow to discriminate artifacts at the surface of the liquid metal. After weld pool solidification, the use of scanning electron microscopy and energy dispersive spectroscopy allow to identify the artifacts, i.e., floating alumina particles.

Published
2020
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6. Thermal camera calibration with cooled down chessboard

Author

Olivier Aubreton, Cyrille Migniot, T. Herrmann, Imagerie et Vision Artificielle [Dijon] (ImViA), Université de Bourgogne (UB), Equipe CORES [ImViA - EA7535] (CORES), Université de Bourgogne (UB)-Université de Bourgogne (UB), Equipe VIBOT - VIsion pour la roBOTique [ImViA EA7535 - ERL CNRS 6000] (VIBOT), Centre National de la Recherche Scientifique (CNRS)-Imagerie et Vision Artificielle [Dijon] (ImViA), and Migniot, Cyrille

Subjects
Materials science, Optics, business.industry, Thermal, [INFO]Computer Science [cs], [INFO] Computer Science [cs], business, Camera resectioning
Abstract

International audience; Calibration of a camera have various applications in computer vision. This process is particularly challenging with a thermal camera instead of a standard color one. A calibration target with two layers of different thermal emissivity is commonly used but reflects appear and degrade the corner extraction of the chessboard. While traditional and commonly used methods heat the target chessboard, we cool it down that inverts the distribution of emission of the two layers. The reflects on the reflective layer enhance the contrast instead of decreasing it. Experiments on various configurations and orientations demonstrate the superiority of the proposed method.

Published
2020
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7. Using polarimetric imaging for automatic segmentation of weld pool

Author

Christophe Stolz, Olivier Aubreton, A Zanzouri Kechiche, Alexandre Mathieu, Equipe VIBOT - VIsion pour la roBOTique [ImViA EA7535 - ERL CNRS 6000] (VIBOT), Centre National de la Recherche Scientifique (CNRS)-Imagerie et Vision Artificielle [Dijon] (ImViA), Université de Bourgogne (UB)-Université de Bourgogne (UB), Laboratoire Interdisciplinaire Carnot de Bourgogne [Dijon] (LICB), and Université de Bourgogne (UB)-Université de Technologie de Belfort-Montbeliard (UTBM)-Centre National de la Recherche Scientifique (CNRS)

Subjects
POLARIZATION STATE, Computer science, Aperture, Polarimetry, 02 engineering and technology, Welding, 01 natural sciences, [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI], law.invention, 010309 optics, Level set, weld pool surface, law, 0103 physical sciences, Computer vision, Segmentation, [PHYS.PHYS.PHYS-OPTICS]Physics [physics]/Physics [physics]/Optics [physics.optics], SURFACE ORIENTATIONS, business.industry, segmentation, Polarimetric imaging, specular surface, Image segmentation, TRANSPARENT OBJECTS, 021001 nanoscience & nanotechnology, welding process, Specularity, Weld pool, Artificial intelligence, 0210 nano-technology, business
Abstract

International audience; This paper presents a passive polarimetry method using a division of aperture optical device in order to segment the weld pool surface of the welding. Due to the high specularity of the surface of the weld pool, we use polarimetric data in order to facilitate it's segmentation in the liquid state. In this paper, we propose to combine two segmentation methods: Watershed Transform and the Level Set to ensure a better result. Our ultimate goal of this study is to provide real-time quality control of the surface of molten metal during the welding process while utilizing the additional information provided by the polarimetric data.Polarimetric imaging; segmentation; specular surface; welding process; weld pool surfaceTRANSPARENT OBJECTS; SURFACE ORIENTATIONS; POLARIZATION STATE

Published
2019
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8. Cracks detection on glass object based on active thermography approach

Author

Thomas Herrmann, Cyrille Migniot, and Olivier Aubreton

Subjects
Materials science, business.industry, Machine vision, Hot spot (veterinary medicine), Edge (geometry), Laser, law.invention, Optics, law, Nondestructive testing, Thermography, Thermal, Specular reflection, business
Abstract

Thermal imaging is nowadays widely used in many industrial areas for non destructive analysis. This paper focuses on the detection by active thermography of cracks in a transparent and specular piece of glass. A continuous laser scans the target by creating a hot spot that is acquired by a thermal camera. A thermal map is computed by averaging of thermal measurements for all the positions of the hot spot on the target. Then edge filters are applied to highlight the cracks. Experimental results demonstrate the validity of the material damage estimation in a short processing time.

Published
2019
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9. Use of polarimetric imaging of emissive objects

Author

A Zanzouri Kechiche, Christophe Stolz, Olivier Aubreton, Alexandre Mathieu, Laboratoire Electronique, Informatique et Image ( Le2i ), Université de Bourgogne ( UB ) -AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Centre National de la Recherche Scientifique ( CNRS ), Laboratoire Interdisciplinaire Carnot de Bourgogne ( LICB ), Université de Bourgogne ( UB ) -Centre National de la Recherche Scientifique ( CNRS ), SPIE, Japan Soc Precis Engn, Tech Comm Ind Applicat Image Proc, Nagahara Hajime, Umeda Kazunori, Yamashita Atsushi, Laboratoire Electronique, Informatique et Image [UMR6306] (Le2i), Université de Bourgogne (UB)-Centre National de la Recherche Scientifique (CNRS)-École Nationale Supérieure d'Arts et Métiers (ENSAM), Arts et Métiers Sciences et Technologies, HESAM Université (HESAM)-HESAM Université (HESAM)-Arts et Métiers Sciences et Technologies, HESAM Université (HESAM)-HESAM Université (HESAM)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement, Laboratoire Interdisciplinaire Carnot de Bourgogne (LICB), Université de Bourgogne (UB)-Centre National de la Recherche Scientifique (CNRS), Université de Bourgogne (UB)-École Nationale Supérieure d'Arts et Métiers (ENSAM), and HESAM Université (HESAM)-HESAM Université (HESAM)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Centre National de la Recherche Scientifique (CNRS)

Subjects
Materials science, transparent object, Polarimetry, 02 engineering and technology, Radiation, 01 natural sciences, [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI], 010309 optics, shape measurement, symbols.namesake, Optics, Far infrared, Thermal infrared spectroscopy, Polarization, 0103 physical sciences, 0202 electrical engineering, electronic engineering, information engineering, Emissivity, Stokes parameters, weld pool, [ INFO.INFO-AI ] Computer Science [cs]/Artificial Intelligence [cs.AI], [PHYS.PHYS]Physics [physics]/Physics [physics], business.industry, Near-infrared spectroscopy, Polarization (waves), [ PHYS.PHYS ] Physics [physics]/Physics [physics], Surface Orientations, symbols, [SPI.OPTI]Engineering Sciences [physics]/Optics / Photonic, Optoelectronics, 020201 artificial intelligence & image processing, [ SPI.OPTI ] Engineering Sciences [physics]/Optics / Photonic, business, Transparent Objects
Abstract

International audience; This paper describes the use of polarization information to estimate the shape of emissive objects in the field of non-conventional imaging techniques for 3D digitization. Using "Shape from Polarization" method which is applied in the far infrared for transparent object and in the near infrared for the molten metal. Our study shows that by studying the state of polarization of the emitted radiation from the object, normal of the surface can be determined and subsequently the 3D shape.

Published
2017
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10. A combined three-dimensional digitisation and subsurface defect detection data using active infrared thermography

Author

Christophe Stolz, Olivier Aubreton, Mohamed Belkacemi, Guillaume Lemaitre, Alexandre Mathieu, Laboratoire Electronique, Informatique et Image ( Le2i ), Université de Bourgogne ( UB ) -AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Centre National de la Recherche Scientifique ( CNRS ), Laboratoire Interdisciplinaire Carnot de Bourgogne ( LICB ), Université de Bourgogne ( UB ) -Centre National de la Recherche Scientifique ( CNRS ), Laboratoire Electronique, Informatique et Image [UMR6306] (Le2i), Université de Bourgogne (UB)-École Nationale Supérieure d'Arts et Métiers (ENSAM), Arts et Métiers Sciences et Technologies, HESAM Université (HESAM)-HESAM Université (HESAM)-Arts et Métiers Sciences et Technologies, HESAM Université (HESAM)-HESAM Université (HESAM)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Centre National de la Recherche Scientifique (CNRS), Laboratoire Interdisciplinaire Carnot de Bourgogne (LICB), Université de Bourgogne (UB)-Centre National de la Recherche Scientifique (CNRS), Lemaitre, Guillaume, Université de Bourgogne (UB)-Centre National de la Recherche Scientifique (CNRS)-École Nationale Supérieure d'Arts et Métiers (ENSAM), and HESAM Université (HESAM)-HESAM Université (HESAM)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement

Subjects
010302 applied physics, Active infrared, business.industry, Computer science, [ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing, 01 natural sciences, Error analysis, Nondestructive testing, 0103 physical sciences, Thermography, Data registration, business, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, 010301 acoustics, Digitization, [SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing, Remote sensing
Abstract

International audience; In recent years, NonDestructive Testing (NDT) systems have been upgraded with three-dimensional information. Indeed, combine the three-dimensional and thermal information allows a more meaningful analysis. In the literature, the data for NDT and three-dimensional (3D) reconstruction analysis are commonly acquired from independent systems. However, the use of two such systems leads to error analysis during the data registration. In an attempt to overcome such problems, we propose a single system based on active thermography approach using heat point-source stimulation to get the 3D digitization as well as subsurface defect detection. The experiments are conducted on steel and aluminum objects, and a combined 3D / thermal-information is presented.

Published
2016

11. Short review of polarimetric imaging based method for 3D measurements

Author

Olivier Aubreton, Christophe Stolz, Abir Zanzouri Kechiche, Laboratoire Electronique, Informatique et Image [UMR6306] (Le2i), Université de Bourgogne (UB)-École Nationale Supérieure d'Arts et Métiers (ENSAM), Arts et Métiers Sciences et Technologies, HESAM Université (HESAM)-HESAM Université (HESAM)-Arts et Métiers Sciences et Technologies, HESAM Université (HESAM)-HESAM Université (HESAM)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Centre National de la Recherche Scientifique (CNRS), Sponsor(s):SPIE, Brussels Photon Team, Res Fdn Flanders, Visit Brussels, Schelkens, P., Ebrahimi, T., Cristobal, G., Truchetet, F., Saarikko, P., Laboratoire Electronique, Informatique et Image ( Le2i ), Université de Bourgogne ( UB ) -AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Centre National de la Recherche Scientifique ( CNRS ), Université de Bourgogne (UB)-Centre National de la Recherche Scientifique (CNRS)-École Nationale Supérieure d'Arts et Métiers (ENSAM), and HESAM Université (HESAM)-HESAM Université (HESAM)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement

Subjects
polarization imaging, Computer science, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, Polarimetry, 02 engineering and technology, 01 natural sciences, 3D inspection, 010309 optics, 0103 physical sciences, 0202 electrical engineering, electronic engineering, information engineering, Computer vision, ComputingMethodologies_COMPUTERGRAPHICS, [PHYS.PHYS.PHYS-OPTICS]Physics [physics]/Physics [physics]/Optics [physics.optics], [ PHYS.PHYS.PHYS-OPTICS ] Physics [physics]/Physics [physics]/Optics [physics.optics], business.industry, Polarized-Light, Shape, Triangulation (social science), Polarization (waves), Surfaces, 020201 artificial intelligence & image processing, Artificial intelligence, Reconstruction, business, Transparent Objects, shape from polarization
Abstract

International audience; In the domain of 3D measurement for inspection purposes, standard systems based on triangulation approaches, can be limited by the nature of the observed surface. When the surface is not lambertian, i.e. highly reflective or transparent, other strategies to ease the measurement need to be developed. The idea of using the polarization property of the light is one of them. This was explored to be a complementary modality, in triangulation or shape from distortion methods, or used in a standalone system through the concept of "shape from polarization". In this paper we propose a short state of the art of the usage of polarimetric imaging for the study of surface and the measurement of 3D data. We focus on recent development applied to the industrial domain, or the health domain.

Published
2016
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12. Wood fiber orientation assessment based on punctual laser beam excitation: A preliminary study

Author

Robert Collet, Guillaume Pot, Christophe Stolz, Olivier Aubreton, Joan Massich, Guillaume Lemaitre, Fabrice Meriaudeau, Vincent Daval, Mohamed Belkacemi, Laboratoire Electronique, Informatique et Image ( Le2i ), Université de Bourgogne ( UB ) -AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Centre National de la Recherche Scientifique ( CNRS ), Laboratoire Bourguignon des Matériaux et Procédés ( LaBoMaP ), École Nationale Supérieure d'Arts et Métiers ( ENSAM ), Laboratoire Electronique, Informatique et Image [UMR6306] (Le2i), Université de Bourgogne (UB)-École Nationale Supérieure d'Arts et Métiers (ENSAM), Arts et Métiers Sciences et Technologies, HESAM Université (HESAM)-HESAM Université (HESAM)-Arts et Métiers Sciences et Technologies, HESAM Université (HESAM)-HESAM Université (HESAM)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Centre National de la Recherche Scientifique (CNRS), Laboratoire Bourguignon des Matériaux et Procédés (LABOMAP), HESAM Université (HESAM)-HESAM Université (HESAM), Université de Bourgogne (UB)-Centre National de la Recherche Scientifique (CNRS)-École Nationale Supérieure d'Arts et Métiers (ENSAM), HESAM Université (HESAM)-HESAM Université (HESAM)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement, and Lemaitre, Guillaume

Subjects
Materials science, Infrared, Orientation (computer vision), Scattering, business.industry, [ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing, 02 engineering and technology, Laser, Ellipse, 01 natural sciences, law.invention, 010309 optics, Optics, law, Ellipsometry, 0103 physical sciences, Thermal, 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, Fiber, business, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, [SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing
Abstract

International audience; The EU imposes standards for the use of wood in structural applications. Local singularities such as knots affect the wood mechanical properties. They can be revealed by looking at the wood fiber orientation. For this reason, many methods were proposed to estimate the orientation of wood fiber using optical means, X-rays, or scattering measurement techniques. In this paper, an approach to assess the wood fiber orientation based on thermal ellipsometry is developed. The wood part is punctually heated with a Nd-YAG Laser and the thermal response is acquired by an infrared camera. The thermal response is elliptical due to the propagation of the heat through and along the wood fibers. An experiment is presented to show the capacity of such techniques to assess fiber orientation on wood specimen. In addition, an appropriate algorithm is given to extract the orientation of the ellipse.

Published
2016
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13. Non Destructive Testing based on a Scanning-From-Heating approach: Application to non-through defect detection and fiber orientation assessment

Author

Olivier Aubreton, Christophe Stolz, Joan Massich, Guillaume Lemaitre, Alexandre Mathieu, Mohamed Belkacemi, Laboratoire Electronique, Informatique et Image ( Le2i ), Université de Bourgogne ( UB ) -AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Centre National de la Recherche Scientifique ( CNRS ), Laboratoire Interdisciplinaire Carnot de Bourgogne ( LICB ), Centre National de la Recherche Scientifique ( CNRS ) -Université de Bourgogne ( UB ), Visio per computador I robotica ( VICOROB ), Universitat de Girona ( UdG ), Laboratoire Electronique, Informatique et Image [UMR6306] (Le2i), Université de Bourgogne (UB)-École Nationale Supérieure d'Arts et Métiers (ENSAM), Arts et Métiers Sciences et Technologies, HESAM Université (HESAM)-HESAM Université (HESAM)-Arts et Métiers Sciences et Technologies, HESAM Université (HESAM)-HESAM Université (HESAM)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Centre National de la Recherche Scientifique (CNRS), Laboratoire Interdisciplinaire Carnot de Bourgogne (LICB), Université de Bourgogne (UB)-Centre National de la Recherche Scientifique (CNRS), Research institute of Computer Vision and Robotics [Girona] (VICOROB), Universitat de Girona (UdG), Université de Bourgogne (UB)-Centre National de la Recherche Scientifique (CNRS)-École Nationale Supérieure d'Arts et Métiers (ENSAM), and HESAM Université (HESAM)-HESAM Université (HESAM)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement

Subjects
Simulations, Computer science, Mechanical engineering, Image processing, Nondestructive evaluation, 02 engineering and technology, [ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing, 01 natural sciences, Non-through defect detection, Nondestructive testing, 0103 physical sciences, Scanning, 3D scanning, Electrical and Electronic Engineering, ComputingMilieux_MISCELLANEOUS, 010302 applied physics, Metallic Object, Orientation (computer vision), business.industry, Lasers, Fiber orientation, Image segmentation, 021001 nanoscience & nanotechnology, Sensor fusion, Atomic and Molecular Physics, and Optics, Computer Science Applications, Active Thermography, Hybrid system, Non Destructive Testing, Thermography, [SPI.OPTI]Engineering Sciences [physics]/Optics / Photonic, [ SPI.OPTI ] Engineering Sciences [physics]/Optics / Photonic, 0210 nano-technology, business, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing
Abstract

International audience; Nowadays, industries ensure the quality of their manufactured products through computer vision techniques and non-conventional imaging. 3D scanners and Non-Destructive Testing (NDT) systems are commonly used independently for such applications. Furthermore, these approaches combined together constitute a hybrid systems providing a 3D reconstruction and NDT analysis. These systems, however, suffer from drawback such as errors during the data fusion and higher cost for manufacturers. In an attempt to solve those problems, a single active thermography system based on Scanning-From-Heating (SFH) is proposed in this paper. Besides 3D digitization of the object, our contributions are twofold: (i) the non-through defect detection for homogeneous metallic object and (ii) fiber orientation assessment for long fiber composite material. The experiments on steel and aluminum plates show that our method achieves to detect non-through defects. Additionally, the estimation of the fiber orientation is evaluated on carbon-fiber composite material.

Published
2015
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14. Real time polarization imaging of weld pool surface

Author

Olivier Aubreton, Alexandre Mathieu, Christophe Stolz, N. Coniglio, Laboratoire Electronique, Informatique et Image ( Le2i ), Université de Bourgogne ( UB ) -AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Centre National de la Recherche Scientifique ( CNRS ), Laboratoire Interdisciplinaire Carnot de Bourgogne ( LICB ), Université de Bourgogne ( UB ) -Centre National de la Recherche Scientifique ( CNRS ), SPIE, Laboratoire Electronique, Informatique et Image [UMR6306] (Le2i), Université de Bourgogne (UB)-Centre National de la Recherche Scientifique (CNRS)-École Nationale Supérieure d'Arts et Métiers (ENSAM), Arts et Métiers Sciences et Technologies, HESAM Université (HESAM)-HESAM Université (HESAM)-Arts et Métiers Sciences et Technologies, HESAM Université (HESAM)-HESAM Université (HESAM)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement, Laboratoire Interdisciplinaire Carnot de Bourgogne (LICB), Université de Bourgogne (UB)-Centre National de la Recherche Scientifique (CNRS), and Stolz, Christophe

Subjects
Materials science, Matériaux [Sciences de l'ingénieur], [SPI.OPTI] Engineering Sciences [physics]/Optics / Photonic, Acoustics, Polarimetry, Real time imaging, 02 engineering and technology, Welding, 01 natural sciences, law.invention, 010309 optics, Optics, Three dimensional sensing, law, 0103 physical sciences, weld pool, Traitement des images [Informatique], business.industry, Polarization imaging, Polarimetric imaging, Monitoring system, 021001 nanoscience & nanotechnology, Polarization (waves), Stokes polarimetry, Weld pool, [SPI.OPTI]Engineering Sciences [physics]/Optics / Photonic, Arc welding, [ SPI.OPTI ] Engineering Sciences [physics]/Optics / Photonic, 0210 nano-technology, business, real time imaging, shape from polarization, thermal field
Abstract

The search for an efficient on-line monitoring system focused on the real-time analysis of arc welding quality is an active area of research. The topography and the superficial temperature field of the weld pool can provide important information which can be used to regulate the welding parameters for depositing consistent welds. One difficulty relies on accessing this information despite the bright dazzling welding arc. In the present work, Stokes polarimetry and associated shape-from-polarization methods are applied for the analysis of the weld pool through its 810 nm-wavelength infrared emissions. The obtained information can provide a better understanding of the process, such as the usage of the topography to seek Marangoni flows direction, or to have a denser 3D map to improve numerical simulation models.

Published
2015

15. A coarse to fine 3D acquisition system

Author

Olivier Aubreton, Frederic Truchetet, Vincent Daval, Laboratoire Electronique, Informatique et Image [UMR6306] (Le2i), Université de Bourgogne (UB)-Centre National de la Recherche Scientifique (CNRS)-École Nationale Supérieure d'Arts et Métiers (ENSAM), Arts et Métiers Sciences et Technologies, HESAM Université (HESAM)-HESAM Université (HESAM)-Arts et Métiers Sciences et Technologies, HESAM Université (HESAM)-HESAM Université (HESAM)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement, SPIE, Laboratoire Electronique, Informatique et Image ( Le2i ), Université de Bourgogne ( UB ) -AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Centre National de la Recherche Scientifique ( CNRS ), and Daval, Vincent

Subjects
2d images, 0209 industrial biotechnology, Scanner, business.industry, Computer science, Process (computing), 3D Compression, [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], 020207 software engineering, Class (philosophy), 02 engineering and technology, 3D Simplification, [ INFO.INFO-CV ] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], Coarse to fine, Primitives extraction, [INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], 020901 industrial engineering & automation, Homogeneous, 0202 electrical engineering, electronic engineering, information engineering, Computer vision, Artificial intelligence, business, 3D Reconstruction, Algorithm, Scope (computer science)
Abstract

International audience; The 3D chain (acquisition-processing-compression) is , most of the time , sequenced into several steps. Such approaches result into an one-dense acquisition of 3D points. In large scope of applications , the first processing step consists in simplifying the data. In this paper , we propose a coarse to fine acquisition system which permits to obtain simplified data directly from the acquisition. By calculating some complementary information from 2D images , such as 3D normals , multiple homogeneous regions will be segmented and affected to a given primitive class. Contrary to other studies , the whole process is not based on a mesh. The obtained model is simplified directly from the 2D data acquired by a 3D scanner .

Published
2015

16. 3D and NDT using scanning from heating

Author

Christophe Stolz, Mohamed Belkacemi, and Olivier Aubreton

Subjects
Materials science, business.industry, Infrared, Inspection method, 3d scanning, Laser, law.invention, Optics, law, Nondestructive testing, Thermal, Point (geometry), business, Excitation
Abstract

A nondestructive inspection method using an infrared detection system is presented in this paper; the system uses a YAG laser as excitation point. The material thermal response to this excitation is processed for the detection of volume defects, this technique integrated into a 3D scanning system allows us to get a 3D scan of the object as well as defects detection.

Published
2015
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17. Coarse-to-fine three-dimensional digitization system

Author

Vincent Daval, Olivier Aubreton, and Frederic Truchetet

Subjects
Scanner, business.industry, Computer science, Process (computing), Contrast (statistics), 020207 software engineering, Class (philosophy), 02 engineering and technology, Image segmentation, Atomic and Molecular Physics, and Optics, Computer Science Applications, Coarse to fine, Workflow, 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, Computer vision, Artificial intelligence, Electrical and Electronic Engineering, business, Digitization
Abstract

The three-dimensional (3-D) workflow (acquisition-processing-compression) is, in most cases, sequenced into several independent steps. Such approaches result in an acquisition of an important number of 3-D points. After acquisition, the first processing step is a simplification of the data by suppressing many of the computed points. We propose a coarse-to-fine acquisition system that makes it possible to obtain simplified data directly from the acquisition. By calculating some complementary information from two-dimensional (2-D) images, such as 3-D normals, multiple-homogeneous regions will be segmented and affected for a given primitive class. In contrast to other studies, the whole process is not based on a mesh. The obtained model is simplified directly from the 2-D data acquired by a 3-D scanner.

Published
2016
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18. Automatic classification of skin lesions using color mathematical morphology-based texture descriptors

Author

Caroline Gaudy-Marqueste, Jean-Jacques Grob, Johan Debayle, Víctor González-Castro, Yanal Wazaefi, Mehdi Rahim, Bernard Fertil, Laboratoire Georges Friedel (LGF-ENSMSE), École des Mines de Saint-Étienne (Mines Saint-Étienne MSE), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Université de Lyon-Centre National de la Recherche Scientifique (CNRS), Département PROcédés Poudres, Interfaces, Cristallisation et Ecoulements (PROPICE-ENSMSE), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-SPIN, Centre Sciences des Processus Industriels et Naturels (SPIN-ENSMSE), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT), Laboratoire des Sciences de l'Information et des Systèmes (LSIS), Aix Marseille Université (AMU)-Université de Toulon (UTLN)-Arts et Métiers Paristech ENSAM Aix-en-Provence-Centre National de la Recherche Scientifique (CNRS), Département de dermatologie, CHU Marseille, CHU Marseille, Hôpital de la Timone [CHU - APHM] (TIMONE), Le2i - Laboratoire Electronique, Informatique et Image, Fabrice Meriaudeau, Olivier Aubreton, LSIS - Laboratoire des Sciences de l'Information et des systèmes, Hôpital de la Timone, Lillouch, Fatima, Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-École des Mines de Saint-Étienne (Mines Saint-Étienne MSE), and Centre National de la Recherche Scientifique (CNRS)-Arts et Métiers Paristech ENSAM Aix-en-Provence-Université de Toulon (UTLN)-Aix Marseille Université (AMU)

Subjects
Self-organizing map, [SPI] Engineering Sciences [physics], [INFO.INFO-TS] Computer Science [cs]/Signal and Image Processing, [SPI.GPROC] Engineering Sciences [physics]/Chemical and Process Engineering, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, Color texture description, 02 engineering and technology, Mathematical morphology, 030207 dermatology & venereal diseases, 03 medical and health sciences, [SPI]Engineering Sciences [physics], 0302 clinical medicine, [INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], Image texture, [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, 0202 electrical engineering, electronic engineering, information engineering, Segmentation, Computer vision, [SPI.GPROC]Engineering Sciences [physics]/Chemical and Process Engineering, Invariant (mathematics), Melanoma, Mathematics, ComputingMethodologies_COMPUTERGRAPHICS, Pixel, Self-organizing maps, business.industry, Texture Descriptor, [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], Pattern recognition, Image segmentation, Color adaptive neighborhoods, ComputingMethodologies_PATTERNRECOGNITION, 020201 artificial intelligence & image processing, Artificial intelligence, business
Abstract

SPIE : Society of Photo-Optical Instrumentation Engineers; International audience; In this paper an automatic classification method of skin lesions from dermoscopic images is proposed. This method is based on color texture analysis based both on color mathematical morphology and Kohonen Self-Organizing Maps (SOM), and it does not need any previous segmentation process. More concretely, mathematical morphology is used to compute a local descriptor for each pixel of the image, while the SOM is used to cluster them and, thus, create the texture descriptor of the global image. Two approaches are proposed, depending on whether the pixel descriptor is computed using classical (i.e. spatially invariant) or adaptive (i.e. spatially variant) mathematical morphology by means of the Color Adaptive Neighborhoods (CANs) framework. Both approaches obtained similar areas under the ROC curve (AUC): 0.854 and 0.859 outperforming the AUC built upon dermatologists' predictions (0.792).

Published
2015
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19. Standing tree decay detection by using acoustic tomography images

Author

Luis Espinosa, Yolima Cortes, Flavio Prieto, Andres Arciniegas, Loïc Brancheriau, Universidad Nacional de Colombia [Bogotà] (UNAL), Ondes et Imagerie (O&I), Laboratoire de Mécanique et d'Acoustique [Marseille] (LMA ), Centre National de la Recherche Scientifique (CNRS)-Aix Marseille Université (AMU)-École Centrale de Marseille (ECM)-Centre National de la Recherche Scientifique (CNRS)-Aix Marseille Université (AMU)-École Centrale de Marseille (ECM), Universidad Nacional de Colombia Sede Manizales, Universidad Nacional de Colombia, BioWooEB (UPR BioWooEB), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad), Botanique et Modélisation de l'Architecture des Plantes et des Végétations (UMR AMAP), Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-Institut National de la Recherche Agronomique (INRA)-Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut de Recherche pour le Développement (IRD [France-Sud]), Fabrice Meriaudeau, Olivier Aubreton, BioWooEB (Cirad-Persyst-UPR 114 BioWooEB), Département Performances des systèmes de production et de transformation tropicaux (Cirad-PERSYST), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut National de la Recherche Agronomique (INRA)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud]), Aix Marseille Université (AMU)-École Centrale de Marseille (ECM)-Centre National de la Recherche Scientifique (CNRS)-Aix Marseille Université (AMU)-École Centrale de Marseille (ECM)-Centre National de la Recherche Scientifique (CNRS), and Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Université de Montpellier (UM)

Subjects
0106 biological sciences, K50 - Technologie des produits forestiers, Computer science, Acoustic tomographic technique, [SDV.BID.SPT]Life Sciences [q-bio]/Biodiversity/Systematics, Phylogenetics and taxonomy, 01 natural sciences, F50 - Anatomie et morphologie des plantes, Set (abstract data type), [SDV.EE.ECO]Life Sciences [q-bio]/Ecology, environment/Ecosystems, Position (vector), Computer vision, Segmentation, Tomography, 040101 forestry, business.industry, Process (computing), 04 agricultural and veterinary sciences, [SDV.BV.BOT]Life Sciences [q-bio]/Vegetal Biology/Botanics, Trunk, Tree (data structure), 0401 agriculture, forestry, and fisheries, Artificial intelligence, sense organs, Geometric mean, U30 - Méthodes de recherche, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, business, 010606 plant biology & botany
Abstract

International audience; The acoustic tomographic technique is used in the diagnosis process of standing trees. This paper presents a segmentation methodology to separate defective regions in cross-section tomographic images obtained with Arbotom® device. A set of experiments was proposed using two trunk samples obtained from a eucalyptus tree, simulating defects by drilling holes with known geometry, size and position and using different number of sensors. Also, tomographic images from trees presenting real defects were studied, by testing two different species with significant internal decay. Tomographic images and photographs from the trunk cross-section were processed to align the propagation velocity data with a corresponding region, healthy or defective. The segmentation was performed by finding a velocity threshold value to separate the defective region; a logistic regression model was fitted to obtain the value that maximizes a performance criterion, being selected the geometric mean. Accuracy segmentation values increased as the number of sensors augmented; also the position influenced the result, obtaining improved results in the case of centric defects

Published
2015

20. Innovative, non-contact wide field imaging of corneal endothelium

Author

P. Gain, Zhiguo He, S. Aberra Guebrou, Yann Gavet, G Pataia, N Naigeon, Gilles Thuret, Jean-Charles Pinoli, Aurélien Bernard, Département PROcédés Poudres, Interfaces, Cristallisation et Ecoulements (PROPICE-ENSMSE), École des Mines de Saint-Étienne (Mines Saint-Étienne MSE), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-SPIN, Centre Sciences des Processus Industriels et Naturels (SPIN-ENSMSE), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT), Laboratoire Georges Friedel (LGF-ENSMSE), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Université de Lyon-Centre National de la Recherche Scientifique (CNRS), Biologie, Ingénierie et Imagerie de la Greffe de Cornée (EA 2521, JE2521, IFR143), Université Jean Monnet [Saint-Étienne] (UJM), Institut Universitaire de France (IUF), Ministère de l'Education nationale, de l’Enseignement supérieur et de la Recherche (M.E.N.E.S.R.), Le2i - Laboratoire Electronique, Informatique et image, IUT Le Creusot Centre Universitaire Condorcet, Fabrice Meriaudeau, olivier Aubreton, Université Jean Monnet Saint-Etienne - Biologie, Ingénierie et Imagerie de la Greffe de Cornée (BiiGC), and Institut Universitaire de France

Subjects
Corneal endothelium, Materials science, Structured Illumination Microscopy, Wide field imaging, Structured illumination microscopy, 01 natural sciences, 010309 optics, Patient diagnosis, 03 medical and health sciences, 0302 clinical medicine, Optics, [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, Ophtalmology, Cornea, 0103 physical sciences, medicine, Wide-Field Imaging, [SPI.GPROC]Engineering Sciences [physics]/Chemical and Process Engineering, business.industry, Specular microscope, [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], Structured illumination, Numerical reconstruction, eye diseases, medicine.anatomical_structure, SPECULAR MICROSCOPY, 030221 ophthalmology & optometry, sense organs, business
Abstract

International audience; In this paper, we investigated the possibility of getting wide-field images of corneal endothelium for patients. An optical set-up coupled to a numerical reconstruction based on Structured Illumination Mircoscopy (SIM) has been developped in order to isolate the tiny volume wich contains the endothelial mono-layer found at the inner surface of the cornea. At this moment, this imaging system seems compromised for patients and futhur refinement are investigated for stored humans corneas banks.

Published
2015
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