
G. LegazAparicio, R. VerduMonedero, J. Angulo (2018): Multiscale estimation of multiple orientations based on morphological directional openings. Signal, Image and Video Processing 12(7) 1245—1253.
J.B. Gasnier, F. Willot, H. Trumel, D. Jeulin, J. Besson (2018): Thermoelastic properties of microcracked polycrystals. Part I : Adequacy of Fourierbased methods for cracked elastic bodies. International Journal of Solids and Structures 155 248—256.
This study is part of a work dedicated to predicting the overall thermoelastic properties of microcracked polycrystals. In the present part, the suitability of Fourierbased methods to estimate the mechanical response of a homogeneous body containing cracks is explored. The effect of the Green operator's discretization on the local elastic fields surrounding the crack's tip is investigated and compared with exact and finite elements solutions. The biases inherent to the Fourier method, namely the effects of grid discretization and crack orientation relative to the grid, are scrutinized. A way...
J.B. Gasnier, F. Willot, H. Trumel, D. Jeulin, M. Biessy (2018): Thermoelastic properties of microcracked polycrystals. Part II : The case of jointed polycrystalline TATB. International Journal of Solids and Structures 155 257—274.
The thermoelastic responses of a cracked TATB polycrystal is modeled using Fourierbased numerical computations and linear homogenization estimates. The numerical method is based on a Fourier scheme previously investigated (Gasnier et al., 2018) and the homogenization schemes include a new selfconsistent estimate recently developed for cracked polycrystals. The effect of various populations of intergranular and transgranular microcracks are compared, with special attention to thermal behavior in the percolating regime. A model of microcracks is proposed for the TATB material in its initial...
G. LegazAparicio, R. VerduMonedero, J. Angulo (2018): Multiscale estimation of multiple orientations based on morphological directional openings. Signal, Image and Video Processing 12(7) 1245—1253.
This paper introduces a novel approach to estimate multiple orientations at each pixel of a gray image at different scales. The main orientations are provided by a bank of directional openings. Gathering the responses of the filtered directional openings provide at each pixel a discrete sequence which is the directional signature. Then, the directional signature is interpolated by cubic Bsplines, and the multiple orientations at each pixel are obtained by means of peak detection in the continuous directional signature. This procedure is performed using structuring elements with different...
S.H. Ham, C. Carteret, J. Angulo, G. Fricout (2018): Relation between emissivity evolution during annealing and selective oxidation of TRIP steel. Corrosion Science 132 185—193.
Spectral emissivity measurement (λ = 8–12 μm) of TRIP alloy steel during annealing in HNx atmosphere is carried out. Emissivity variation is contributed by the selective oxidation that takes place along with the surface topography from preannealed state. Comparing results from physicochemical characterization (Fourier transform infrared spectroscopy, scanning electron microscopy and optical surface profiler) on postannealed samples and examining the global and relative spectral emissivity separately established correlation of roughness to the former and oxide signatures to the...
L. Gigli, S. VelascoForero, B. Marcotegui (2018): On Minimum Spanning Tree Streaming for Image Analysis. 2018 25th IEEE International Conference on Image Processing (ICIP), Athens (Greece).
This work addresses minimum spanning tree (MST) construction in streaming for images. We study the problem of computation a MST on streaming in which image columns from a continuous stream are processed in blocks of a given size. The correctness of proposed algorithm is proved and confirmed in the case of morphological segmentation of remote sensing images.
A. Fehri, S. VelascoForero, F. Meyer (2018): Characterizing Images by the GromovHausdorff Distances Between Derived Hierarchies. 2018 25th IEEE International Conference on Image Processing (ICIP), Athens (Greece).
A hierarchy is a series of nested partitions in which a coarser partition results from merging regions of finer ones. Each hierarchy derived from an image provides a particular structural description of the image content, depending upon the criteria for merging neighboring regions. Distinct hierarchies derived from a same image reflect its various facets and the distances between them nicely characterize its content. In this paper the hierarchies are constructed with the versatile stochastic watershed algorithm and their interdistances are measured with the GromovHausdorff distance....
H. Thomas, J.E. Deschaud, B. Marcotegui, F. Goulette, Y.L. Gall (2018): Semantic Classification of 3D Point Clouds with Multiscale Spherical Neighborhoods. 2018 International Conference on 3D Vision (3DV), 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 knearest 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 stateoftheart features using the same experimental conditions. Furthermore, their classification...
L. Gigli, S. VelascoForero, B. Marcotegui (2018): ON MINIMUM SPANNING TREE STREAMING FOR IMAGE ANALYSIS. 25th IEEE International Conference on Image Processing (ICIP 2018), Athènes (Greece).
This work addresses minimum spanning tree (MST) construction in streaming for images. We study the problem of computation a MST on streaming in which image columns from a continuous stream are processed in blocks of a given size. The correctness of proposed algorithm is proved and confirmed in the case of morphological segmentation of remote sensing images.
A. Fehri, S. VelascoForero, F. Meyer (2018): Characterizing Images by the GromovHausdorff Distances Between Derived Hierarchies. International Conference on Image Processing (ICIP), Athens (Greece).
A hierarchy is a series of nested partitions in which a coarser partition results from merging regions of finer ones. Each hierarchy derived from an image provides a particular structural description of the image content, depending upon the criteria for merging neighboring regions. Distinct hierarchies derived from a same image reflect its various facets and the distances between them nicely characterize its content. In this paper the hierarchies are constructed with the versatile stochastic watershed algorithm and their interdistances are measured with the GromovHausdorff distance....
F. Cadiou, F. Willot, B. Lestriez, J. Adrien, T. Douillard, O. Valentin, E. Maire (2018): Étude de l'impact de la microstructure sur les propriétés électriques des batteries lithiumion : simulations de microstructures réelles et génération d'architectures numériques. Colloque national MECAMAT « Matériaux Numériques », Aussois (France).
B. Millan, S. VelascoForero, A. Aquino, J. Tardaguila (2018): OntheGo Grapevine Yield Estimation Using Image Analysis and Boolean Model. Journal of Sensors 2018 1—14.
D. Trafimow, V. Amrhein, C. Areshenkoff, C. BarreraCausil, E. Beh, Y. Bilgiç, R. Bono, M. Bradley, W. Briggs, H. CepedaFreyre, S. Chaigneau, D. Ciocca, J. Correa, D. Cousineau, M. De Boer, S. Dhar, I. Dolgov, J. GómezBenito, M. Grendar, J. Grice, M. GuerreroGimenez, A. Gutiérrez, T. HuedoMedina, K. Jaffe, A. Janyan, A. Karimnezhad, F. KornerNievergelt, K. Kosugi, M. Lachmair, R. Ledesma, R. Limongi, M. Liuzza, R. Lombardo, M. Marks, G. Meinlschmidt, L. Nalborczyk, H. Nguyen, R. Ospina, J. Perezgonzalez, R. Pfister, J. Rahona, D. RodríguezMedina, X. Romão, S. RuizFernández, I. Suarez, M. Tegethoff, M. Tejo, R. Van de Schoot, I. Vankov, S. VelascoForero, T. Wang, Y. Yamada, F. Zoppino, F. MarmolejoRamos (2018): Manipulating the Alpha Level Cannot Cure Significance Testing. Frontiers in Psychology 9.
We argue that making accept/reject decisions on scientific hypotheses, including a recent call for changing the canonical alpha level from p = 0.05 to p = 0.005, is deleterious for the finding of new discoveries and the progress of science. Given that blanket and variable alpha levels both are problematic, it is sensible to dispense with significance testing altogether. There are alternatives that address study design and sample size much more directly than significance testing does; but none of the statistical tools should be taken as the new magic method giving clearcut mechanical answers....
S. Berhanu, M. Hervy, E. WeissHortala, 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 woodbased 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 woodbased 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 Xray synchrotron microtomography, transmission electron microscopy, Raman spectroscopy and Xray diffraction provided a precise description of the char properties, allowing for an accurate discussion of their catalytic...
J. Belhadj, T. Romary, A. Gesret, M. Noble, B. Figliuzzi (2018): New parameterizations for Bayesian seismic tomography. Inverse Problems 34(6).
In this study, we rely on a Bayesian approach to estimate the seismic velocity from first arrival travel times. The advantage of the Bayesian approach compared to linearized ones is its ability to properly quantify the uncertainties associated with the solution. However, this approach remains fairly expensive, and the Markov chainMonte Carlo algorithms that are used to sample the posterior distribution are efficient only when the number of parameters remains within reason. Therefore, a first step toward an efficient implementation of the Bayesian approach is to properly parameterize the...
E. Decencière, S. VelascoForero, F. Min, J. Chen, H. Burdin, G. Gauthier, B. LAY, T. Bornschloegl, T. Baldeweck (2018): Dealing with Topological Information within a Fully Convolutional Neural Network. Advanced Concepts for Intelligent Vision Systems (ACIVS), Poitiers (France).
A fully convolutional neural network has a receptive field of limited size and therefore cannot exploit global information, such as topological information. A solution is proposed in this paper to solve this problem, based on preprocessing with a geodesic operator. It is applied to the segmentation of histological images of pigmented reconstructed epidermis acquired via Whole Slide Imaging.
H. Thomas, J.E. Deschaud, B. Marcotegui, F. Goulette, Y. Le Gall (2018): Descripteurs sphériques multiéchelles pour la classification sémantique de nuages de points 3D. Conférence Française de Photogrammétrie et Télédétection (CFPT) 2018, Paris (France).
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 roundshaped 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...
S. Blusseau, S. VelascoForero, J. Angulo, I. Bloch (2018): TROPICAL AND MORPHOLOGICAL OPERATORS FOR SIGNALS ON GRAPHS. 2018 25th IEEE International Conference on Image Processing (ICIP), Athens (Greece).
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): 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 socalled 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 nonsupervised 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 noncontrolled light conditions. Comparing to thresholding techniques and...
E. Moscoso Thompson, C. Tortorici, N. Werghi, S. Berretti, S. VelascoForero, 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. Barthe, S. Berretti, A. Giachetti, T. Lejemble, N. Mellado, K. Moustakas, I. Manolas, D. Dimou, C. Tortorici, S. VelascoForero, 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.
D. Jeulin (2018): Caractérisation et modélisation probabiliste des milieux hétérogènes. Colloque national MECAMAT Aussois « Matériaux Numériques » (22  26 janvier 2018), Aussois (France).
G. LegazAparicio, R. VerduMonedero, 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 spatiallyvariant 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 spatiallyvariant 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 energydispersive Xray spectroscopy (EDX) images that have discriminative 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..
A. Fehri (2018): Image Characterization by Morphological Hierarchical Representations.
This thesis deals with the extraction of hierarchical and multiscale descriptors on images, in order to interpret, characterize and segment them. It breaks down into two parts.The first part outlines a theoretical and methodological approach for obtaining hierarchical clusterings of the nodes of an edgeweighted graph. In addition, we introduce different approaches to combine hierarchical segmentations. These methods are then applied to graphs representing images and derive different hierarchical segmentation techniques. Finally, we propose a methodology for structuring and studying the space...
S. Blusseau, I. Bloch, Y. Gousseau, S. VelascoForero, J. Angulo (2018): MATHEMATICAL MORPHOLOGY ON TENSOR IMAGES FOR FIBER ENHANCEMENT. SIAM Conference on IMAGING SCIENCE, Bologna (Italy).
We introduce morphological methods to analyse images of positive semidefinite matrices (ellipsoids), such as diffusion or structure tensors. Morphological operators cannot be directly defined on these objects because they lack a complete lattice structure. Therefore, we extend recent developments in morphological signal processing on graphs. Graphs are constructed based on all the available information, whereas a scalar signal (anisotropy) is processed on these graphs, successfully enhancing structures such as vessels and fibers.
E. Decencière, R. Alais, P. Dokládal, B. Figliuzzi, A. Erginay (2018): Efficient estimation of eye fundus color image quality with convolutional neural networks. Association for Research in Vision and Ophthalmology, Honolulu (United States).
Purpose: Telemedicine networks are being established in several countries for mass screening of retinal pathologies, like diabetic retinopathy or agerelated macular degeneration. Images are acquired by trained technicians, using different fundus cameras models. The quality of the resulting images could be insufficient for interpretation by ophthalmologists or automated systems. With the use of hand held retinographs, this problem will only worsen. An efficient method is presented to estimate the quality of eye fundus images using a relatively simple convolutional neural network. One of the...
F. Willot, S. Forest (2018): Physics et Mechanics of Random Media: from Morphology to Material Properties. Physics and mechanics of random structures: from morphology to material properties. International workshop in honor of Dominique Jeulin., SaintPierre d'Oléron (France).
Dominique Jeulin has been Director of Research and Professor at École des Mines de Paris, which he joined in 1986. He previously worked at IRSID, where he developed image analysis for materials of steel industry. At École des Mines, he was at the head of the ``Physics of Heterogeneous Media'' group, with activities in three laboratories of École des Mines de Paris: the Centre de Morphologie Mathématique (Fontainebleau), the Centre de Géostatistique (Fontainebleau), and the Centre des Matériaux P.~M. Fourt (Évry). His main research interests cover the theoretical prediction of physical...
J. Dirrenberger (2018): From Architectured Materials to LargeScale Additive Manufacturing. Robotic Building 79—96.
The classical materialbydesign approach has been extensively perfected by materials scientists, while engineers have been optimising structures geometrically for centuries. The purpose of architectured materials is to build bridges across themicroscale ofmaterials and themacroscale of engineering structures, to put some geometry in the microstructure. This is a paradigm shift. Materials cannot be considered monolithic anymore. Any set of materials functions, even antagonistic ones, can be envisaged in the future. In this paper, we intend to demonstrate the pertinence of computation for...
T.F. Chabardes (2018): optimisation of automatic segmentation of granular fragmented materials.
The physical properties of granular materials on a macroscopic scale derive from their microstructures. The segmentation of CTimages of this type of material is the first step towards simulation and modeling but it is not a trivial task. However, the quality of those images is often affected by the presence of noise and reconstruction artefacts. Obtaining 3D structures that fit the reality requires an adapted filter, which can only be obtained by a complete analysis of the material.This adapted filter enhances each grain and the full structure of the material is obtained by segmentation....
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 linearelastic matrix and n=0 to a strongly nonlinear elastic matrix. To strengthen the effect of the microstructure, inclusions are either quasirigid or porous, whereas the matrix is compressible or incompressible. Fullfields solutions are computed numerically using Fourier methods, for varying inclusion volume fractions and nonlinearity exponent. Next, we...
F. Willot, S. Guessasma (2018): Linearelastic response of starchbased materials: FFT results vs. experimental data. Physics & Mechanics of Random Media: from Morphology to Material Properties 177.
Comparisons are made between Fourierbased 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. VannierMoreau, F. Willot, D. Jeulin (2018): Thermal and linearelastic properties of lightweight concrete. Physics & Mechanics of Random Media: from Morphology to Material Properties 169.
This work is concerned by the prediction of the linearelastic and thermal properties of lightweight agregate concrete. The 3D microstructures of two samples, with low and highporosity, are imaged using microtomography. Image analysis techniques are used to segment the pores in each microstructure. First, Fourierbased 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...
A.M. Pena, E. Decencière, S. Brizion, S. Victorin, S. Koudoro, T. Baldeweck, E. TancrèdeBohin (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 noninvasive, 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 threedimensional (3D) structure to be characterized with subµm resolution. In association with fluorescence lifetime imaging...
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 socalled 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 noncontrolled 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): Unsupervised Perception Model for UAVs Landing Target Detection and Recognition. Advanced Concepts for Intelligent Vision Systems 233—244.
Today, unmanned aerial vehicles (UAV) play an interesting role in the socalled 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 noncontrolled light conditions impacted by shadows, change of scale, perspective, vibrations, noise, blur, among others. In this paper, we introduce a robust unsupervised...
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
.
See also: