Publications from the Center of Mathematical Morphology

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F. Willot, D. Jeulin (2018): The nonlinear response of Boolean models: elasticity and conductivity. Physics & Mechanics of Random Media: from Morphology to Material Properties 181.
The effective response of an ideal random composite, the Boolean model of spheres, with a nonlinear powerlaw matrix, is investigated. Nonlinearity is parametrized by the law exponent 0≤n≤1, with the values n=1 corresponding to a linear-elastic matrix and n=0 to a strongly nonlinear elastic matrix. To strengthen the effect of the microstructure, inclusions are either quasi-rigid or porous, whereas the matrix is compressible or incompressible. Full-fields solutions are computed numerically using Fourier methods, for varying inclusion volume fractions and nonlinearity exponent. Next, we...

F. Willot, S. Guessasma (2018): Linear-elastic response of starch-based materials: FFT results vs. experimental data. Physics & Mechanics of Random Media: from Morphology to Material Properties 177.
Comparisons are made between Fourier-based numerical computations and experimental measurements for Young's moduli of a biopolymeric foam material with high porosity. The effect of grid resolution and the representativity of the 3D images are investigated.

A. Vannier-Moreau, F. Willot, D. Jeulin (2018): Thermal and linear-elastic properties of lightweight concrete. Physics & Mechanics of Random Media: from Morphology to Material Properties 169.
This work is concerned by the prediction of the linear-elastic and thermal properties of lightweight agregate concrete. The 3D microstructures of two samples, with low and high-porosity, are imaged using microtomography. Image analysis techniques are used to segment the pores in each microstructure. First, Fourier-based computations are carried out to determine the elastic macroscopic response, using experimental data for the elastic moduli of the cement paste. These results are compared with experimental measurements of the elastic response of the samples. Numerical and experimental results...

H. Thomas, J.E. Deschaud, B. Marcotegui, F. Goulette, Y. Le Gall (2018): Semantic Classification of 3D Point Clouds with Multiscale Spherical Neighborhoods. 3DV 2018 - International Conference on 3D Vision, Verone (Italy).
This paper introduces a new definition of multiscale neighborhoods in 3D point clouds. This definition, based on spherical neighborhoods and proportional subsampling, allows the computation of features with a consistent geometrical meaning, which is not the case when using k-nearest neighbors. With an appropriate learning strategy, the proposed features can be used in a random forest to classify 3D points. In this semantic classification task, we show that our multiscale features outperform state-of-the-art features using the same experimental conditions. Furthermore, their classification...

L. Gillibert, T. Chabardès, B. Marcotegui (2018): Local multiscale blur estimation based on toggle mapping for sharp region extraction. IET Image Processing.
In this paper a multiscale local blur estimation is proposed based on the existing local focus measure that combines gradient and toggle mapping. This method evaluates the quality of images regardless of their content (not in an autofocus context) and can predict OCR accuracy based on local blur. The resulting approach outperforms state of the art blur detection methods. Quantitative results are given on DIQA database. Moreover we demonstrate its usefulness for extracting a region of interest from partially blurry images. Results are shown on images acquired by a project devoted to smartphone...

V. Bortolussi, B. Figliuzzi, F. Willot, M. Faessel, M. Jeandin (2018): Morphological modeling of cold spray coatings. Image Analysis and Stereology 37(2) 145—158.
In this article, we study the microstructure of cold sprayed films of copper particles deposited onto a carbon fiber reinforced polymer. The microstructure of the coating is made of a packing of seemingly round-shaped particles of varying sizes embedded in a polymer matrix. The copper particles are separated by thin interstices. The coating is designed to cover the body of recent commercial aircrafts. Its role is to protect the aircraft from lightning impact by ensuring that the surface is conductive enough to evacuate electrical charges. A high resistivity contrast is observed between the...

H. Wang, D. Jeulin, F. Willot, L. SORBIER, M. Moreaud (2018): Modelling of the microstructure of mesoporous alumina constrained by morphological simulation of nitrogen porosimetry. Colloids and Surfaces A: Physicochemical and Engineering Aspects 553 378 — 396.
A procedure is proposed to simulate numerically experimental capillary condensation and evaporation isotherms in porous media, and to simulate random microstructures based on such isotherms. The present methodology is applied to a mesoporous material made of nanometric alumina "platelets". First, a numerical method is developed to compute the adsorption and desorption isotherms in digital porous media. The method, based on simple morphological operators, extends that of Münch and Holzer (2008) on mercury porosimetry. The meniscus of the vapour–liquid interface occurring during adsorption...

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,.


List of all publications from the CMM, recorded on the HAL depository under the tag ENSMP_CMM.

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