Publications from the Center of Mathematical Morphology

Français | home page

2018 | 2017 | 2016 | 2015 | 2014 | 2013 | 2012 | 2011 | 2010 | 2009 | 2008 | 2007 | 2006 | ⩽2005


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.

See also: