Analysis of the accessibility of macroporous alumino-silicate using 3D-TEM images

Materials Science and Technology Conference and Exhibition, MS and T'08

Volumn 2, Issue , 2008, Pages 1153-1164

  Moreaud, M ^a   Celse, B ^a   Tihay, F ^a  

^a IFP ENERGIES NOUVELLES   (France)

Author keywords

3D TEM images; Images segmentation; Porous network; Tortuosity.

Indexed keywords

3D-TEM IMAGES; ALUMINO SILICATES; CATALYTIC MATERIALS; COMPLEX INFORMATIONS; DISTANCE PROPAGATION; IMAGES SEGMENTATION; MACROPOROUS; NANOMETRIC SCALE; PHYSICAL MEASUREMENTS; PORE CONNECTIVITIES; PORE TORTUOSITIES; POROUS NETWORK; SEGMENTATION METHODS; SPECIFIC SURFACES; TEM; TORTUOSITY.;

MATERIALS SCIENCE; PETROLEUM REFINERIES; SILICATES; SURFACE CHEMISTRY; TRANSMISSION ELECTRON MICROSCOPY;

THREE DIMENSIONAL;

EID: 63749112055     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (20)

1. O. Ersen, C. Hirlimann, M. Drillon, J. Werckmann, F. Tihay, C. Phamm-Huu, C. Crusifix, P. Schultz, 3D-TEM characterization of nanometnc objects, Solid State Sciences 9 (2007), 1088-1098.
2. S. Areva, C. Boissière, D. Grosso, T. Asakawa, C. Sanchez, M. Linden, Chem. Commun. (2004) 1630-1631.
3. P. Perona and J. Malik. Scale-space and edge detection using anisotropic diffusion, IEEE Transactions on Pattern Analysis Machine Intelligence, 12 (1990), 629-639.
4. L. Jbanez, W. Schroeder, L. Ng, and J. Cates. The ITK Software Guide. Kitware, Inc., second edition (2005).
5. C. Tomasi, R. Manduchi, Bilateral filtering for gray and color images, Proc. of International Conference on Computer Vision, IEEE (1998), 839-846.
6. S. Paris, F. Durand, A Fast Approximation of the Bilateral Filter using a Signal Processing Approach, European Conference on Computer Vision (ECCV'06) (2006).
7. F. Durand, J. Dorsey, Fast Bilateral Filtering for the Display of High Dynamic-Range Images, ACM Siggraph (2002).
8. T.Q. Pham, L.J. van Vliet, Separable bilateral filtering for fast video preprocessing, International Conference on Multimedia and Expo, IEEE (2005).
9. S. Beucher, Unbiased Implementation of the Watershed Transformation based on Hierarchical Queues. CMM Internal note, Paris School of Mines (2004).
10. N. Otsu, A Threshold Selection Method from Grey-Level Histograms, IEEE Trans. Systems, Man, and Cybernetics, vol. 9, no. 1 (1979), 377-393.
11. R. Deriche, Recursively implementing the Gaussian and its derivatives, Technical Report 1893, INRIA (1993).
12. G. Farneback, C.F. Westin, Improving Deriche-style Recursive Gaussian Filters, Journal of Mathematical Imaging and Vision, volume 26, Issue 3, (2006), 293-299.
13. P. Soille, Morphological Image Processing: Principles and Applications (second ed.), Springer-Verlag (2003).
14. L. Vincent, New trends in morphological algorithms, Proceedings of SPIE/SPSE, vol. 1451 (1991), 158-170.
15. C. Lantuéjoul, F. Maisonneuve, Geodesic methods in quantitative image analysis. Pattern recognition, 17(2), (1984), 177-187.
16. J. Lindblad, Surface area estimation of digitized 3D objects using weighted local configurations, Image and Vision Computing 23 (2005), 111-122.
17. G. Windreich, N. Kiryati, G. Lohmann, Voxel-based surface area estimation: from theory to practice, Pattern Recognition 36 (2003), 253 1-2541.
18. G. Van Dallen, P. Nootenboom, L.J. Van Vliet, L. Voortman, E. Esveld, 3-D imaging, analysis and modeling of porous cereal products using X-ray microtomography, Image Anal Stereol 26 (2007), 169-177.
19. C. Lohou, G. Bertrand, A 3D 6-subiteration curve thinning algorithm based on P-simple points, Discrete Applied Mathematics 151 (2001), 198-228.
20. J. Serra, Image Analysis and Mathematical Morphology - Vol. I, Ac. Press, London (1982).