Nowa metoda segmentacji obrazów stopów tytanowych, wykonanych za pomocą tomografii rentgenowskiej, wykorzystująca transformatę contourlet

[1]  Lucia Dettori,et al.  A comparison of wavelet, ridgelet, and curvelet-based texture classification algorithms in computed tomography , 2007, Comput. Biol. Medicine.

[2]  A new method to segment X-ray tomography images of lamellar microstructure in titanium alloys based on gray level gradient , 2010 .

[3]  D. D.-Y. Po,et al.  Directional multiscale modeling of images using the contourlet transform , 2006, IEEE Transactions on Image Processing.

[4]  Michael Preuss,et al.  Three-dimensional characterization of fatigue cracks in Ti-6246 using X-ray tomography and electron backscatter diffraction , 2009 .

[5]  Minh N. Do,et al.  Multidimensional Directional Filter Banks and Surfacelets , 2007, IEEE Transactions on Image Processing.

[6]  Minh N. Do,et al.  The finite ridgelet transform for image representation , 2003, IEEE Trans. Image Process..

[7]  Minh N. Do,et al.  A Mapping-Based Design for Nonsubsampled Hourglass Filter Banks in Arbitrary Dimensions , 2008, IEEE Transactions on Signal Processing.

[8]  Minh N. Do,et al.  The Nonsubsampled Contourlet Transform: Theory, Design, and Applications , 2006, IEEE Transactions on Image Processing.

[9]  D. Jeulin,et al.  SEGMENTATION OF 2D AND 3D TEXTURES FROM ESTIMATES OF THE LOCAL ORIENTATION , 2011 .

[10]  Minh N. Do,et al.  On Two-Channel Filter Banks With Directional Vanishing Moments , 2007, IEEE Transactions on Image Processing.

[11]  M. Strzelecki,et al.  Mazda - a software for texture analysis , 2007, 2007 International Symposium on Information Technology Convergence (ISITC 2007).

[12]  Minh N. Do,et al.  Ieee Transactions on Image Processing the Contourlet Transform: an Efficient Directional Multiresolution Image Representation , 2022 .