Publications from the Center of Mathematical Morphology

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G. Noyel, J. Angulo, D. Jeulin, D. Balvay, C.A. Cuénod (2008): Filtering, segmentation and region classification by hyperspectral mathematical morphology of DCE-MRI series for angiogenesis imaging. 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro (ISBI 2008), Paris (France) 1517—1520.
Segmenting dynamic contrast enhanced-MRI series of small animal, which are intrinsically noisy and low contrasted images with low resolution, is the aim of this paper. To do this, a segmentation method taking into account the temporal (spectral) and spatial information is presented on several series. The idea is to start from a temporal classification, and to build a probability density function of contours conditionally to this classification. Then, this function is segmented to find potentially tumorous areas. The method is presented on several series after a range normalization histogram...

G. Noyel, J. Angulo, D. Jeulin (2008): Classification-Driven Stochastic Watershed: Application to Multispectral Segmentation. CGIV 2008/MCS'08 4th European Conference on Colour in Graphics, Imaging, and Vision and 10th International Symposium on Multispectral Colour Science, Terrassa - Barcelona (Spain) 471—476.
The aim of this paper is to present a general methodology based on multispectral mathematical morphology in order to segment multispectral images. The methods consists in computing a probability density function pdf of contours conditioned by a spectral classification. The pdf is conditioned through regionalized random balls markers thanks to a new algorithm. Therefore the pdf contains spatial and spectral information. Finally, the pdf is segmented by a watershed with seeds (i.e., markers) coming from the classification. Consequently, a complete method, based on a classification-driven...

J. Stawiaski, E. Decencière, F. Bidault (2008): Interactive Liver Tumor Segmentation Using Graph-cuts and Watershed. 11th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2008), New York, NY (United States).
We present in this paper an application of minimal surfaces and Markov random fields to the segmentation of liver tumors. The originality of the work consists in applying these models to the region adja-cency graph of a watershed transform. We detail the assumptions and the approximations introduced in these models by using a region graph instead of a pixel graph. This strategy leads to an interactive method used to delineate tumors in 3D CT images. We detail our strategy to achieve relevant segmentations of these structures and compare our results to hand made segmentations done by...

F. Willot, D. Jeulin (2008): Elastic behavior of composites containing Boolean random sets of inhomogeneities. International Journal of Engineering Science 47(2) 313—324.
The overall mechanical response as well as strain and stress field statistics of an heterogeneous material made of two randomly distributed, linear elastic phases, are investigated numerically. The Boolean model of spheres is used to generate microstructures consisting of either porous or rigid inclusions, at any volume fraction of the phases. Stress and strain field integral ranges, or equivalently the representative volume element, are computed and linked to features of the field statistics, and to the microstructure geometry.

D. Jeulin, C. Delisée, J. Malvestio (2008): 3D morphological characterization, modeling of fibrous media. 3D Imaging of Materials and Systems 2008 Proceedings 11.

O. Amsellem, K. Madi, F. Borit, D. Jeulin, V. Guipont, M. Jeandin, F. Pauchet, E. Boller (2008): Three-dimensional simulation of porosity in plasma-sprayed alumina using microtomography, electrochemical impedance spectrometry for finite element modeling of properties. Proceedings of IEEE Conference on Intelligent Transportation Systems 996—1001.

D. Jeulin (2008): Morphological models of evolving microstructures. Proceedings of the 4th International Conference on Multiscale Materials Modeling 27.

G. Noyel, J. Angulo, D. Jeulin, D. Balvay, C.A. Cuénod (2008): Hyperspectral mathematical morphology applied to DCE-MRI series for angiogenesis imaging. 15th European Conference on Mathematics for Industry (ECMI'2008), Londres (United Kingdom).

P. Dokládal, E. Dokladalova (2008): Grey-scale 1-D dilations with spatially-variant structuring elements in linear time. 16th European Signal Processing Conference (EUSIPCO'08) 5 p..
Spatially variant morphological operators can significantly improve filtering capabilities or object detection score of various applications. Whereas an effort has been made to define the theoretical background, the efficient implementation of adaptable algorithms remained far less considered. In this paper, we present an efficient,one-scan, linear algorithm for 1-D grey-scale dilations/erosions with spatially variant structuring elements. The proposed algorithm processes data in stream, can work in place and produces results with minimal latency. The computing time is independent of the...

A.R. Chaudrhy, J.C. Klein, E. Parra-Denis (2008): Uniformisation de l'éclairage en imagerie rétinienne : Application pour les images d'autofluorescence du fond d'œil. 2009 - GRETSI - Actes de colloque 4 p..
Dans cet article nous proposons une méthode originale pour corriger l'éclairage inhomogène des images de la rétine. Notre méthode utilise la convolution de l'image par un filtre gaussien de taille appropriée définie automatiquement par l'analyse de la courbe d'entropie de l'image corrigée. La luminosité moyenne de l'image originale est conservée ainsi que les structures et les lésions. Title: Uniformization of lighting in retinal imaging : Application to autofluorescence images of fundus oculi Abstract: In this paper, we propose an original method for the correction of...

R. Verdu-Monedero, J. Angulo (2008): Spatially-Variant Directional Mathematical Morphology Operators Based on a Diffused Average Squared Gradient Field. Advanced Concepts for Intelligent Vision Systems: Proceedings, 10th International Conference on Advanced Concepts for Intelligent Vision Systems, ACIVS 2008 5259 542—553.
This paper proposes an approach for mathematical morphology operators whose structuring element can locally adapt its orientation across the pixels of the image. The orientation at each pixel is extracted by means of a diffusion process of the average squared gradient field. The resulting vector field, the average squared gradient vector flow, extends the orientation information from the edges of the objects to the homogeneous areas of the image. The provided orientation field is then used to perform a spatially variant filtering with a linear structuring element. Results of erosion,...

C. Clienti, M. Bilodeau, S. Beucher (2008): An Efficient Hardware Architecture without Line Memories for Morphological Image Processing. Advanced Concepts for Intelligent Vision Systems: Proceedings, 10th International Conference on Advanced Concepts for Intelligent Vision Systems (ACIVS 2008) 5259 147—156.
In this paper, we present a novel hardware architecture to, achieve erosion and dilation with a large structuring element. We are, proposing a modification of HGW algorithm with a block mirroring, scheme to ease the propagation and memory access and to minimize, memory consumption. It allows to suppress the needs for backward scan-, ning and gives the possibility for hardware architecture to process very, large lines with a low latency. It compares well with the Lemonnier's, architecture in terms of ASIC gates area and shows the interest of our, solution by dividing the circuit area by an...

A.R. Chaudrhy, J.C. Klein, E. Parra-Denis (2008): Ophthalmologic Image Registration Based on Shape-Context: Application to Fundus Autofluorescence (FAF) Images. Proceeding: Visualization, Imaging, and Image Processing Medical Imaging, track 630—055.
A novel registration algorithm, which was developed in order to facilitate ophthalmologic image processing, is presented in this paper. It has been evaluated on FAF images, which present low Si gnal/Noise Ratio (SNR) and variations in dynamic grayscale range. These characteristics complicate the registration process and cause a failure to area-based registration techniques [1, 2] . Our method is based on shape-context theory [3] . In the first step, images are enhanced by Gaussian model based histog ram modification. Features are extracted in the next step by morphological operators, which...

J. Angulo (2008): A Mathematical Morphology Approach to Cell Shape Analysis. Progress in Industrial Mathematics at ECMI 2006, part II 543—547.
This contribution aims to apply mathematical morphology operators to quantify the shape of round-objects which present irregularities from an ideal circular pattern. More specifically we illustrate, on the one hand, the application of morphological granulometries for size/shape multi-scale description and on the other hand, the radial/angular decompo- sitions using skeletons in polar-logarithmic representation. We discuss also the aspects related to the properties of invariance of these tools, which is important to describe cell shapes acquired under different magnifications, orientations,...

J. Angulo, B. Schaack (2008): Morphological-based adaptive segmentation and quantification of cell assays in high content screening. 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008. ISBI 2008 360—363.
In fluorescence-labelled cell assays for high content screening applications, image processing software is necessary to have automatic algorithms for segmenting the cells individually and for quantifying their intensities, size/shape parameters, etc. Mathematical morphology is a non-linear image processing technique which is proven to be a very powerful tool in biomedical microscopy image analysis. This paper presents a morphological methodology based on connected filters, watershed transformation and granulometries for segmenting cells of different size, contrast, etc. In particular, the...

J. Hernandez, B. Marcotegui (2008): Ultimate Opening Segmentation with Shape Constraints. Proceeding: Visualization, Imaging, and Image Processing Image Processing, track 630—120.
In this paper, a novel method for image segmentation with shape constraints is presented. This method is based on a morphological operator named ultimate opening (UO). The UO is an operator based on numerical residues. Our ap proach introduces shape information to favor the detection of specific shapes. The method is validated in the frame work of two applications: fac¸ade analysis and scene-text detection. The experimental results show that our approach is more robust than the standard UO. Lastly, we conclude and present some perspectives of this work.

J. Hernandez, B. Marcotegui (2008): Segmentation of Facade Images using Ultimate Opening. 31ème journée ISS.
In recent years, automatic reconstruction, modeling and interpretation of urban environment and building structures is an area which gained interest. Urban environment's modeling allows developing different applications. This analysis extracts and reconstructs windows, doors and ornaments to provide rich information of the buildings adding real- ism for visualization. Our goal is the automation of the fac ̧ades interpretation from images; especially to detection/extraction structural objects mainly windows. We propose connected-component (CC) segmentation to detect of facade structures. The...

J. Hernandez, B. Marcotegui (2008): Segmentation et Interprétation de Nuages de Points pour la Modélisation d'Environnements Urbains. Revue française de photogrammetrie et de télédection 191 28—35.
In this article, we present a method for detection and classification of artifacts at the street level, in order to filter cloud point, facilitating the urban modeling process. Our approach exploits 3D information by using range image, a projection of 3D points onto an image plane where the pixel intensity is a function of the measured distance between 3D points and the plane. By assuming that the artifacts are on the ground, they are detected using a Top-Hat of the hole filling algorithm of range images. Then, several features are extracted from the detected connected components and a...

C. Clienti, S. Beucher, M. Bilodeau (2008): A System On Chip Dedicated To Pipeline Neighborhood Processing For Mathematical Morphology. Proceedings of the EUSIPCO 2008, 16th European Signal Processing Conference 5 p..
This paper describes a system on chip for image processing. It is based on a pipe-line of neighborhood processors named SPoC and is controlled by a general purpose processor. Each SPoC are connected one to the other through a reconfigurable data path to get more adaptability and their structure exploits temporal and spatial parallelism to speed up computations and minimize memory transfers. Two applications, a motion detection algorithm and a licence plate extraction, are presented to show performances in terms of speed, embeddability and re-usability of the SoC. Comparisons with many...

J. Taquet, B. Besserer, A. Hassaïne, E. Decencière (2008): Detection And Correction Of Under-/Overexposed Optical Soundtracks By Coupling Image And Audio Signal Processing. EURASIP Journal on Advances in Signal Processing 2008(16) 281486.
Film restoration using image processing, has been an active research field during the last years. However, the restoration of the soundtrack has been mainly performed in the sound domain, using signal processing methods, despite the fact that it is recorded as a continuous image between the images of the film and the perforations. While the very few published approaches focus on removing dust particles or concealing larger corrupted areas, no published works are devoted to the restoration of soundtracks degraded by substantial underexposure or overexposure. Digital restoration of optical...

D. Jeulin, M. Moreaud (2008): Segmentation Of 2D And 3D Textures From Estimates Of The Local Orientation. Image Analysis and Stereology 27(3) 183—192.
We use a method to estimate local orientations in the n-dimensional space from the covariance matrix of the gradient, which can be implemented either in the imag e space or in the Fourier sp ace. In a second step, two methods allow us to detect sudden changes of orientation in images. The first one uses an index of confidence of the estimated orientatio n, and the second one the detection of minima of scalar products in a neighbourhood. This is illustrated on 2D Transmission Electrons Microscope images of cellulose cryofracture (to display the organisation of cellulose whiskers and the points...

J. Angulo (2008): Polar Modelling And Segmentation Of Genomic Microarray Spots Using Mathematical Morphology. Image Analysis and Stereology 27(2) 107—124.
Robust image analysis of spots in microarrays (quality control + spot segmentation + quantification) is a requirement for automated software which is of fundamental importance for a high-throughput analysis of genomics microarray-based data. This paper deals with the development of model-based image processing algorithms for qualifying/segmenting/quantifying adaptively each spot according to its morphology. A series of morphologicalmodels for spot intensities are introduced. The spot typologies representmost of the possible qualitative cases identified from a large database (different...

J. Stawiaski, E. Decencière (2008): Region Merging Via Graph-Cuts. Image Analysis and Stereology 27(1) 39—45.
In this paper, we discuss the use of graph-cuts to merge the re gions of the watershed transform optimally. Watershed is a simple, intuitive and efficient way of segmen ting an image. Unfortunately it presents a few limitations such as over-segmentation and poor detection o f low boundaries. Our segmentation process merges regions of the watershed over-segmentation by minimizing a specific criterion using graph-cuts optimization. Two methods will be introduced in this paper. The first is bas ed on regions histogram and dissimilarity measures between adjacent regions. The second method deals...

V. Tariel, D. Jeulin, A. Fanget, G. Contesse (2008): 3D Multi-Scale Segmentation Of Granular Materials. Image Analysis and Stereology 27(5) 23—28.
On a microscopic scale, a pyrotechnic material is made of a po lymer matrix containing grains with different sizes and shapes. Its physical behaviour can be predicted by homogenization. Information about the morphology of the grains can be obtained by different ways. O ne of these ways is 3D image processing. This has been made easier by the use of a new imaging technique , the microtomography, allowing fast three- dimensional reconstruction and processing. In this paper i mages of two granular materials are segmented by means of 3D mathematical morphology algorithms, based on a m ulti-scale...

D. Jeulin, W. Li, M. Ostoja-Starzewski (2008): On The Geodesic Property Of Strain Field Patterns In Elastoplastic Composites. Proceedings of the Royal Society A: Mathematical, Physical and Engineering Science 464(2093) 1217—1227.
Under study is the geodesic (i.e. shortest path) character of strain fields occurring in inelastic response of matrix-inclusion composites. The spatially random morphology of composites is created by generating the inclusions centres through a sequential inhibition process based on a planar Poisson point field preventing any disc overlaps. Both phases (inclusions and matrix) are elastic-plastic hardening with the matrix being more compliant and weaker than the inclusions, and perfect bonding holding everywhere, so that the plastic flow occurs between the inclusions. A quantitative comparison...

G. Fricout, D. Jeulin, P.J. Krauth, T. Jacquot (2008): Automatic On-Line Inspection Of Non-Smooth Surface. Wear 264(5) 416—421.
The visual aspect of rough surfaces such as steel surfaces becomes of great importance for the quality of the final product they are dedicated to. In a previous work, we have solved the theoretically complex problem of automatically classifying surfaces according to the quality of their aspect. In this case, the measurements were based on topographical maps obtained through interferometric microscopy. The resulting data were analyzed by an algorithm based on morphological and statistical features extraction from surface topography, factorial analysis, bootstrap over-sampling and Bayesian...

C. Caciu, E. Decencière, D. Jeulin (2008): Numerical Analysis Of The Consequences Of Roughness Modifications In 3D Hydrodynamic Contacts. Tribology Transactions 51(4) 483—493.
A theoretical study is presented to evaluate the influence of the structure size of laser-textured surfaces on the tribological performance of reciprocating automotive components. A topographic image representing a laser-textured liner surface is progressively filtered, using morphological alternating sequential filters of increasing size, in order to transform the roughness of the initial surface. A numerical tool simulating the hydrodynamic contact between piston rings and liner is then used to compare the performance of the textures issued from the filtering process. The results of this...

C. Caciu, E. Decencière, D. Jeulin (2008): Parametric Optimization Of Periodic Textured Surfaces For Friction Reduction In Combustion Engines. Tribology Transactions 51(4) 533—541.
The aim of this paper is to analyze the tribological perfor- mance of different periodic textures of liner surfaces under hy- drodynamic lubrication conditions, for an engine application. The impact of the different parameters of the periodic texture on its tribological performance is studied. First, a brief description of the numerical model is given. Then, the friction prediction tool is applied to the simulated periodic textures. Finally, opti- mal shapes and values of periodic textures are drawn out for the considered application.

J. Angulo (2008): Quaternion Colour Representations and Derived Total Orderings for Morphological Operators. Final program and proceedings : CGIV 2008/MCS'08 4th European Conference on Colour in Graphics, Imaging, and Vision and 10th International Symposium on Multispectral Colour Science (CD-ROM) 417—422.

D. Jeulin, S. Forest (2008): Continuum models and discrete systems : CMDS 11 Proceedings of the International Symposium held in Paris July 30th-August 2nd 2007.
The CMDS Symposia were initiated in 1975. CMDS 11, organised in École des Mines de Paris, welcomed 66 participants from 14 countries. With the aim to stimulate interdisciplinary research, it gathered scientists in various areas (physics, mechanics, materials sciences, applied mathematics, engineering sciences), working on properties and applications of physical systems, where the interaction between a discrete and a continuous description plays a major role. These Proceedings collect the content of most lectures given at CMDS 11, and covering the following topics: statistical mechanics,...

E. Parra-Denis, C. Barat, D. Jeulin, C. Ducottet (2008): Complex Shape Characterization by Statistical Analysis: Application to Aluminium Alloys. Materials Characterization 59(3) 338—343.
The goal of this paper is to describe a methodology for characterizing 3D complex shapes using morphological features. First, we provide 3D morphological measurements for understanding complex shapes. Second, we explain the analysis method based on principal component analysis. We illustrate our approach on populations of intermetallic particles of aluminium alloys investigated using X-ray microtomography. In that case, the analysis provides a description of shapes with a limited number of parameters, with a morphological interpretation for each of them. We finally demonstrate the practical...

T. Nion (2008): Modélisation mathématique de l'évolution de la topographie des couches successives des surfaces peintes destinées au secteur automobile.
The visual appearance of the painted steel sheets that are constitutive of a car's body, is a prominent factor in the appreciation of the quality of the car. Characterising the link between this appearance and the rough topography of the flat carbon steel used in this context, is of a crucial importance for the industry and remains a serious scientific challenge. In this thesis, a detailed investigation of this matter is achieved through a series of experiments. We also introduce our own methods and software that make it possible for us to apprehend serenely the exhaustive set of data that...

P. Dokládal, E. Dokladalova (2008): Grey-scale Morphology with Spatially-Variant Rectangles in Linear Time. Advanced Concepts for Intelligent Vision Systems: Proceedings, 10th International Conference on Advanced Concepts for Intelligent Vision Systems (ACIVS 2008) 5259 674—685.
Spatially variable structuring elements outperform translation-invariant ones by their ability to locally adapt to image content. Without restrictions, they suffer from an overwhelming computational complexity. Fast methods for their implementation have recently been proposed for 1-D functions. This paper proposes an extension to 2-D with resizable rectangles.

O. Tankyevych, H. Talbot, P. Dokládal (2008): Curvilinear morpho-Hessian filter. 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008. ISBI 2008 1011—1014.
The motivation of this paper is the filtering of thin elongated objects, such as veins, fibres etc. In particular, we focus our attention on detecting thin segments and linking them when disconnection is due to noise. A hybrid Hessian-based and morphological linear filtering method is proposed within the framework of scale space theory. For each pixel the second- derivative response kernel is collected and formed into a Hessian matrix which undergoes eigen analysis. From there, the best eigenvalue response along with the corresponding eigenvector is chosen on different scales. Using the...

F. Meyer, L. Najman (2008): Segmentation, arbre de poids minimum et hiérarchies. Morphologie mathématique 1 : approches déterministes 203—236 (Chapitre 7).

J. Serra, C. Vachier-Mammar, F. Meyer (2008): Nivellements. Morphologie mathématique 1 : approches déterministes 175—202 (Chapitre 6).

S. Outal, D. Jeulin, J. Schleifer (2008): A new method for estimating the 3D-size -distribution-curve of fragmented rocks out of 2D images. Image Analysis and Stereology 27 97—105.

J. Angulo, C. Lajaunie, M. Bilodeau, L. Martinelli, F. Le Boulaire, F. Meyer (2008): Preprocessing and analysis of microarray images from integrated lensless bio-photonic sensors. Proc. of SPIE Photonics Europe 2008: Optical and Digital Image Processing 7000 12p.
A new integrated lensless bio-photonic sensors is being developed. It replaces the ordinary slide supporting the DNA spots, and the complex, large and expensive hybridisation and the scanner reading system, by a sandwich of well defined chemical and optical layers grafted onto a CCD sensor. The upper layer of the new biochip performs the biological function. Due to the architecture of the biochip leading to a lensless imaging of the spots directly on the sensor pixels, the images produced will have novel characteristics beyond the analysis capacity of reading software packages of microarray...

N. Moulin, E. Parra-Denis, A. Bigot, D. Jeulin, H. Klöcker (2008): Mechanical analysis of intermetallic particle break-up during hot rolling of aluminium alloy. Actes de congrès.

J. Angulo, F. Robert-Inacio, E. Dinet (2008): Contour and detail detection for spatially adaptive color median filtering. Final program and proceedings : CGIV 2008/MCS'08 4th European Conference on Colour in Graphics, Imaging, and Vision and 10th International Symposium on Multispectral Colour Science (CD-ROM) 388—393.
In this paper, we present a spatially adaptive filter for color median filtering. Several alternative implementations of such a filter are given, using different ways of gradient computation. Then, several methods of color median filtering are compared in terms of performance on a particular image. Vector median filters are considered as well as median filters inspired by grey-level methods.

Y. Tarabalka, J. Chanussot, J.A. Benediktsson, J. Angulo, M. Fauvel (2008): Segmentation and classification of hyperspectral data using watershed. IEEE IGARSS'08 - International Geoscience and Remote Sensing Symposium, Boston, MA (United States) 3 652—655.
The paper presents a new segmentation and classification scheme to analyze hyperspectral (HS) data. The Robust Color Morphological Gradient of the HS image is computed, and the watershed transformation is applied to the obtained gradient. After the pixel-wise Support Vector Machines classification, the majority voting within the watershed regions is performed. Experimental results are presented on a 103-airborne ROSIS image, of the University of Pavia, Italy. The integration of the spatial information from the watershed segmentation into the HS image classification improves the classification...

J. Stawiaski (2008): Mathematical morphology and graphs: application to interactive medical image segmentation.
Medical imaging is one of the most active research topics in image analysis. Analyzing and segmenting medical images in a clinical context remains a challenging task due to the multiplicity of imaging modalities and the variability of the patients characteristics and pathologies. Medical image processing also requires a human supervision for interpretation and validation purposes. The numerous applications and the huge amount of medical image data need complex software that combine high level graphical user interfaces as well as robust and fast interactive image analysis tools. Recent...

M. Moreaud, D. Jeulin, A. Thorel, J.Y. Chane-Ching (2008): A quantitative morphological analysis of nanostructured ceria-silica composite catalysts. Journal of Microscopy 232(2) 293—305.
This study aims at examining the morphology of different catalysts, which are based on a dispersion of ceria nanoparticles embedded in a high surface area mesoporous silica framework. In order to fully describe the mesostructured composite material, we propose here a quantitative description of the microstructure based on a quantitative analysis of micrographs that were obtained via high-resolution transmission electron microscopy. We have therefore developed an automatic image analysis process in order to automatically and efficiently extract all the components of the catalyst images. A...

G. Noyel (2008): Filtrage, réduction de dimension, classification et segmentation morphologique hyperspectrale.
Hyperspectral image processing is the generalization of analysis of color images, having three components red, green and blue, to multivariate images having several tens or hundreds of components. In a general way, hyperspectral images are not only acquired in the domain of wavelengths but correspond to a pixel description by a set of values: i.e. a vector. Each one of the components of an hyperspectral image is a spectral channel, and the vector which is associated to each pixel is called spectrum. In order to validate the generality of our processing methods, we have applied them to several...

B. Marcotegui, T. Retornaz (2008): Localisation de texte enfoui dans des bases d'images généralistes. Dixième Colloque International Francophone sur l'Ecrit et le Document 3—3.

S. Beauvais, V. Guipont, M. Jeandin, D. Jeulin, A. Robisson, R. Saenger (2008): Study of the porosity in plasma-sprayed alumina through an innovative three-dimensional simulation of the coating buildup. Metallurgical and Materials Transactions A 39 2711—2724.
Porosity is a key feature of a thermally sprayed coating microstructure. Within ceramic coatings, porosity is made of pores and cracks of various shapes, dimensions, and orientations. Cracks can be intralamellar or interlamellar due to the buildup of the coating, which leads to piled-up lamellae from impinging and the additional rapid solidification of liquid droplets. Pores are interconnected with cracks, which results in a three-dimensional (3-D) porosity network. Direct observation of this network is an intricate task and current attempts remain somewhat limited. A 3-D simulation of this...

E. Parra-Denis, C. Barat, D. Jeulin, C. Ducottet (2008): 3D complex shape characterization by statistical analysis: Application to aluminium alloys. Materials Characterization 59(3) 338—343.
The goal of this paper is to describe a methodology for characterizing 3D complex shapes using morphological features. First, we provide 3D morphological measurements for understanding complex shapes. Second, we explain the analysis method based on principal component analysis. We illustrate our approach on populations of intermetallic particles of aluminium alloys investigated using X-ray microtomography. In that case, the analysis provides a description of shapes with a limited number of parameters, with a morphological interpretation for each of them. We finally demonstrate the practical...

O. Amsellem, K. Madi, F. Borit, D. Jeulin, V. Guipont, M. Jeandin, E. Boller, F. Pauchet (2008): Two-dimensional (2D) and three dimensional (3D) analyses of plasma sprayed alumina microstructures for finite-element simulation of Young's modulus. Journal of Materials Science 43 4091—4098.
Thermally sprayed ceramic coatings such as plasma-sprayed alumina exhibit a composite microstructure actually due to the presence of defects such as pores, inter-lamellar and intra-lamellar cracks. These second phase-typed features influence the mechanical behaviour of the coating dramatically. In this study, a microstructure simulation of plasma-sprayed alumina was developed for the optimizing of component properties such as electrical tool used in the oil industry. This approach consisted of a finite-element analysis of mechanical properties from simulated microstructures. Several composite...

N. Vanderesse, Maire, M. Darrieulat, F. Montheillet, M. Moreaud, D. Jeulin (2008): Three-dimensional microtomographic study of Widmanstätten microstructures in an alpha/beta titanium alloy. Scripta Materialia 58(6) 512—515.
A beta-quenched titanium alloy was studied by means of microtomography. This technique provides three dimensional (3D) representations of the microstructure. It appears that the colonies have non-convex shapes and form an intricate aggregate. An algorithm of 3D image segmentation based on the orientation of the lamellae is presented. Its results are in agreement with those derived from a manual segmentation method, and allow the colonies to be examined individually. Further perspectives on the basis of this experiment are outlined.


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

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