Publications du Centre de Morphologie Mathématique

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A.M. Pena, E. Decencière, S. Brizion, S. Victorin, S. Koudoro, T. Baldeweck, E. Tancrède-Bohin (2018): Multiphoton FLIM in cosmetic clinical research. Multiphoton Microscopy and Fluorescence Lifetime Imaging: Applications in Biology and Medicine.
There is an increasing need in cosmetic clinical research for non-invasive, high content, skin imaging techniques offering the possibility on the one hand, to avoid performing invasive biopsies, and on the other hand, to supply a maximum of information on the skin state throughout a study, especially before, during and after product application. Multiphoton microscopy is one of these techniques compatible with in vivo human skin investigations, allowing human skin three-dimensional (3D) structure to be characterized with sub-µm resolution. In association with fluores-cence lifetime imaging...

S. Blusseau, S. Velasco-Forero, J. Angulo, I. Bloch (2018): TROPICAL AND MORPHOLOGICAL OPERATORS FOR SIGNALS ON GRAPHS.
We extend recent work on mathematical morphology for signal processing on weighted graphs, based on discrete tropical algebra. The framework is general and can be applied to any scalar function defined on a graph. We show applications in structure tensors analysis and the regularization of grayscale images.

E. Bazan, P. Dokládal, E. Dokladalova (2018): Unsupervised Perception Model for UAVs Landing Target Detection and Recognition.
Today, unmanned aerial vehicles (UAV) play an interesting role in the so-called Industry 4.0. One of many problems studied by companies and research groups are the sensing of the environment intelligently. In this context, we tackle the problem of autonomous landing, and more precisely, the robust detection and recognition of a unique landing target in an outdoor environment. The challenge is how to deal with images under non-controlled light conditions impacted by shadows, change of scale, perspective, vibrations, noise, blur, among others. In this paper, we introduce a robust unsupervised...

E. Bazan, P. Dokládal, E. Dokladalova (2018): Non supervised perceptual model for target recognition in UAVs.
Today, drones play an interesting role in the so-called Revolution 4.0. One of the problems studied by various companies and research groups are the precision landing techniques since many applications, such as package delivery or object tracking, use this drone feature. In this paper, we propose a non-supervised model that allows to detect and recognize a set of landing targets using the Gestalt principles. This proposed method is capable of recognizing different coded landing targets robustly under outdoor non-controlled light conditions. In comparison with thresholding techniques and other...

E. Bazan, P. Dokládal, E. Dokladalova (2018): Non supervised perceptual model for target recognition in UAVs. Reconnaissance des Formes, Image, Apprentissage et Perception RFIAP, Marne la Vallée (France).
Today, drones play an interesting role in the so-called Revolution 4.0. One of the problems studied by various companies and research groups are the precision landing techniques since this drone feature can be used in applications such as package delivery or object tracking. In this paper, we propose a non-supervised model that allows to detect and recognize a set of landing targets using the Gestalt principles. This proposed method is capable to recognize different coded landing targets in a robust way under outdoor non-controlled light conditions. Comparing to thresholding techniques and...

E. Moscoso Thompson, C. Tortorici, N. Werghi, S. Berretti, S. Velasco-Forero, S. Biasotti (2018): SHREC'18 track: Retrieval of gray patterns depicted on 3D models. Eurographics Workshop on 3D Object Retrieval.
This paper presents the results of the SHREC'18 track: Retrieval of gray patterns depicted on 3D models. The task proposed in the contest challenges the possibility of retrieving surfaces with the same texture pattern of a given query model. This task, which can be seen as a simplified version of many real world applications, requires a characterization of the surfaces based on local features, rather then considering the surface size and/or bending. All runs submitted to this track are based on feature vectors. The retrieval performances of the runs submitted for evaluation reveal that...

S. Biasotti, E. Moscoso Thompson, L. Bathe, S. Berretti, A. Giachetti, T. Lejemble, N. Mellado, K. Moustakas, I. Manolas, D. Dimou, C. Tortorici, S. Velasco-Forero, N. Werghi, M. Polig, G. Sorrentino, S. Hermon (2018): SHREC'18 track: Recognition of geometric patterns over 3D models. Eurographics Workshop on 3D Object Retrieval.
This track of the SHREC 2018 originally aimed at recognizing relief patterns over a set of triangle meshes from laser scan acquisitions of archaeological fragments. This track approaches a lively and very challenging problem that remains open after the end of the track. In this report we discuss the challenges to face to successfully address geometric pattern recognition over surfaces; how the existing techniques can go further in this direction, what is currently missing and what is necessary to be further developed.

S. Berhanu, M. Hervy, E. Weiss-Hortala, H. Proudhon, M.H. Berger, A. Chesnaud, M. Faessel, A. King, D.P. Minh, A. Villot, C. Gerente, A. Thorel, L. Le Coq, A. Nzihou (2018): Advanced characterization unravels the structure and reactivity of wood-based chars. Journal of Analytical and Applied Pyrolysis 130 p.79—89.
This study aims at understanding the structural changes occurring in the carbonaceous matrix of wood-based chars during their thermal conversion. Although chars are routinely characterized by porosity measurements or scanning electron microscopy, the composition and structure of the carbonaceous matrix is often not investigated. Here, advanced characterization using X-ray synchrotron microtomography, transmission electron microscopy, Raman spectroscopy and X-ray diffraction provided a precise description of the char properties, allowing for an accurate discussion of their catalytic...

D. Jeulin (2018): Caractérisation et modélisation probabiliste des milieux hétérogènes. Colloque national MECAMAT Aussois « Matériaux Numériques » (22 - 26 janvier 2018), Aussois (France).

G. Legaz-Aparicio, R. Verdu-Monedero, J. Angulo (2018): Adaptive morphological filters based on a multiple orientation vector field dependent on image local features. Journal of Computational and Applied Mathematics 330 965 — 981.
This paper addresses the formulation of adaptive morphological filters based on spatially-variant structuring elements. The adaptivity of these filters is achieved by modifying the shape and orientation of the structuring elements according to a multiple orientation vector field. This vector field is provided by means of a bank of directional openings which can take into account the possible multiple orientations of the contours in the image. After reviewing and formalizing the definition of the spatially-variant dilation, erosion, opening and closing, the proposed structuring elements are...

G. Franchi, J. Angulo, M. Moreaud, L. Sorbier (2018): Enhanced EDX images by fusion of multimodal SEM images using pansharpening techniques. Journal of Microscopy 269(1) 94 — 112.
The goal of this paper is to explore the potential interest of image fusion in the context of multimodal scanning electron microscope (SEM) imaging. In particular, we aim at merging the backscattered electron images that usually have a high spatial resolution but do not provide enough discriminative information to physically classify the nature of the sample, with energy-dispersive X-ray spectroscopy (EDX) images that have dis-criminative information but a lower spatial resolution. The produced images are named enhanced EDX. To achieve this goal, we have compared the results obtained with...

E. Kaeshammer, B. Erzar, S. Belon, F. Willot, P. Dokladal, J. Corbel, L. Borne (2018): Étude expérimentale et numérique de la sensibilité de compositions énergétiques : influence de la microstructure et rôle de l'endommagement. Colloque MECAMAT 2018:Matériaux numériques. Microstructures et comportements thermomécanique, Aussois (France).

L. Lacourt, S. Forest, F. N'Guyen, D. Ryckelynck, F. Willot, S. Flouriot, V. De Rancourt, A. Thomas (2018): Étude numérique de la nocivité des défauts dans les soudures. Colloque MECAMAT 2018 Matériaux numériques, Aussois (France) 5 p..

D. Jeulin (2018): Morphological Models. Encyclopedia of Continuum Mechanics,.


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