
H. Wang, F. Willot, M. Moreaud, M. Rivallan, L. SORBIER, D. Jeulin (2017): Numerical Simulation of Hindered Diffusion in γAlumina Catalyst Supports. Oil & Gas Science and Technology  Revue d'IFP Energies nouvelles 72(2) 8.
By employing multiscale random models of calumina, we have studied the influence of porosity, grain aspect ratio and aggregation state on the effective diffusion coefficient. Multiscale Boolean models of platelets were used to produce digital volumes reproducing the alumina porous space. Iterative fast Fourier transform numerical simulation of Fick's diffusion were performed on the volume to obtain the effective diffusion coefficient. The tortuosity factors of the various simulated models show a simple dependence with pore volume fraction with an exponent guided by the platelet aspect...
A. Fehri, S. VelascoForero, F. Meyer (2017): Priorbased Hierarchical Segmentation Highlighting Structures of Interest. International Symposium on Mathematical Morphology, Fontainebleau (France).
Image segmentation is the process of partitioning an image into a set of meaningful regions according to some criteria. Hierarchical segmentation has emerged as a major trend in this regard as it favors the emergence of important regions at different scales. On the other hand, many methods allow us to have prior information on the position of structures of interest in the images. In this paper, we present a versatile hierarchical segmentation method that takes into account any prior spatial information and outputs a hierarchical segmentation that emphasizes the contours or regions of interest...
S. Drouyer, S. Beucher, M. Bilodeau, M. Moreaud, L. Sorbier (2017): Sparse Stereo Disparity Map Densification using Hierarchical Image Segmentation.
We describe a novel method for propagating disparity values using hierarchical segmentation by waterfall and robust regression models. High confidence disparity values obtained by state of the art stereo matching algorithms are interpolated using a coarse to fine approach. We start from a coarse segmentation of the image and try to fit each region’s disparities using robust regression models. If the fit is not satisfying, the process is repeated on a finer region’s segmentation. Erroneous values in the initial sparse disparity maps are generally excluded, as we use robust regressions...
A. Borocco, C. Fellah, J. Braun, M.H. Berger, P. Dokládal (2017): Morphological Characterization of Graphene Plans Stacking.
The graphene is a material obtained when carbon atoms form large planar molecules. Well organized, large graphene molecules stacked ontop each other convey to graphene particularly interesting properties useful in nuclear industry. Understanding how the organization on the molecular scale influences the mechanical properties of the material is a key element in the material manufacturing process. In this scope, features like local orientation and length have already been largely explored in the literature. This paper brings a new feature evaluating the number of plans stacked ontop each other...
P. Dokládal (2017): Statistical Threshold Selection for Path Openings to Detect Cracks.
Inspired by the a contrario approach this paper proposes a way of setting the threshold when using parsimonious path filters to detect thin curvilinear structures in images. The a contrario approach, instead of modeling the structures to detect, models the noise to detect structures deviating from the model. In this scope, we assume noise composed of pixels that are independent random variables. Henceforth, cracks that are curvilinear sequences of bright pixels (not necessarily connected) are detected as abnormal sequences of bright pixels. In the second part, a fast approximation of the...
T. Chabardès, P. Dokládal, M. Faessel, M. Bilodeau (2017): An affinity score for grains merging and touching grains separation.
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. Nonspherical, elongated or nonconvex objects fail to be separated with classical methods. Moreover, grains are commonly fragmented due to external conditions: aging, storage conditions, or even userinduced mechanical deformations. Grains are crushed into multiple fragments of different shape and volume; those fragments drift from one another in the...
R. Alais, P. Dokládal, E. Decencière, B. Figliuzzi (2017): Function Decomposition in Main and Lesser Peaks.
This article shows how the dynamics extinction value can be used to compute the decomposition of a function as a sum of simpler components. We show that this decomposition induces a hierarchical segmentation of the domain of definition, and a new partial ordering on nonnegative functions. Removing some of the components according to different criteria leads to new morphological operators. Their properties are discussed and illustrated in the last section. In particular, we see that thresholding on the supports' areas simplifies textured zones, while retaining perceptually salient elements of...
List of all publications from the CMM, recorded on the HAL depository under the tag
ENSMP_CMM
.
See also: