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This paper presents a new approach to segment heavily 3D textured images such as the one of lamellar titatnium alloys obtained from X-ray tomography. The presented method considers NSDFB and gradient from gray-level value to recognize directionality of structure in the image. Second level of classication is needed due to the high complexity of the titanium alloys structure. During the segmentation algorithm takes into account the interaction between objects.
Słowa kluczowe
Wydawca
Czasopismo
Rocznik
Tom
Strony
93--102
Opis fizyczny
Bibliogr. 14 poz., rys.
Twórcy
autor
- Institute of Applied Computer Science, Lodz University of Technology, Poland
autor
- Institute of Applied Computer Science, Lodz University of Technology, Poland
autor
- Institute of Applied Computer Science, Lodz University of Technology, Poland
- Department of Expert Systems and Artificial Intelligence, Academy of Information Technology
autor
- Institute of Applied Computer Science, Lodz University of Technology, Poland
Bibliografia
- [1] L. Babout, Ł. Jopek, M. Janaszewski, M. Preuss, J.Y. Buffiere, Towards The Texture Segmentation Of XRay Tomography Images Of Lamellar Microstructure In Titanium Based Alloys, in L. Babout and J. Nowakowski, eds., 5th International Symposium on Process Tomography, Zakopane, pp. 168-173, 2008
- [2] L. Babout, T.J. Marrow, M. Preuss, Sequential X-ray Tomography Studies of Damage Assessment in Materials Science, 4th Symposium on Process Tomography in Poland, Warsaw, pp. 159-162, 2006
- [3] S. Birosca, J.Y. Buffiere, F.A. Garcia-Pastor, M. Karadge, L. Babout, M. Preuss, Three-dimensional characterization of fatigue cracks in Ti-6246 using X-ray tomography and electron backscatter diffraction, Acta Materialia, Vol. 57, No.19, pp. 5834-5847, 2009
- [4] A.L. Da Cunha, J. Zhou and M.N. Do, The nonsubsampled contourlet transform: Theory, design, and applications, IEEE Transactions on Image Processing, Vol. 15, No. 10, pp. 3089-3101, 2006
- [5] M.N. Do, M. Vetterli, The contourlet transform: an efficient directional multiresolution image representation, Image Processing, IEEE Transactions on, Vol. 14, No. 12, pp. 2091-2106, 2005
- [6] R.M. Haralick, K. Shanmuga, I. Dinstein, Textural features for image classification, IEEE Transactions on Systems Man and Cybernetics, Vol.6, pp. 610-621, 1973
- [7] D. Jeulin, M. Moreaud, Segmentation of 2D and 3D textures from estimates of the local orientation, Image Analysis and Stereology, Vol. 27, pp. 183-192, 2008
- [8] Ł. Jopek, L. Babout, M. Janaszewski, M. Postolski, A new method to segment X-ray tomography images of lamellar microstructure in titanium alloys based on gray level gradient, Automatyka, Vol. 14, pp. 301-314, 2010
- [9] Ł. Jopek, L. Babout, M. Janaszewski, P. M., Nowa metoda segmentacji obrazów stopów tytanowych, wykonanych za pomocą tomografii rentgenowskiej, wykorzystująca transformatę Contourlet, Zeszyty naukowe AGH "Automatyka", Vol. 15, 2011
- [10] Ł. Jopek, R. Nowotniak, M. Postolski, L. Babout, J. M., Zastosowanie kwantowych algorytmów genetycznych do selekcji cech, Zeszyty naukowe AGH "Automatyka", Vol. 13, 2009
- [11] Y.M. Lu, M.N. Do, Multidimensional directional filter banks and surfacelets, IEEE Transactions on Image Processing, Vol. 16, No.4, pp. 918-931, 2007
- [12] S.G. Mallat, A theory for multiresolution signal decomposition: the wavelet representation, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 11, No. 7, pp. 674-693, 1989
- [13] P. Szczypiński , M. Strzelecki, A. Materka, A. Klepaczko, MaZda-A software package for image texture analysis, Computer Methods and Programs in Biomedicine, Vol. 94, pp. 66-76, 2009
- [14] N. Vanderesse, E.Maire, M. Darrieulat, F. Montheillet, M. Moreaud, D. Jeulin, Three-dimensional microtomographic study of Widmanstätten microstructures in an alpha/beta titanium alloy, Scripta materialia, Vol. 58, No. 6, pp. 512-515, 2008
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-d25a20cf-307a-4aab-a9ef-8f6c4d7063d9