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Volume 15 Issue 1
Jan.  1993
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Luo Bin, Wang Bingquan. PC-BASED 3-D RECONSTRUCTION FROM CROSS-SECTIONAL IMAGES[J]. Journal of Electronics & Information Technology, 1993, 15(1): 75-78.
Citation: Luo Bin, Wang Bingquan. PC-BASED 3-D RECONSTRUCTION FROM CROSS-SECTIONAL IMAGES[J]. Journal of Electronics & Information Technology, 1993, 15(1): 75-78.

PC-BASED 3-D RECONSTRUCTION FROM CROSS-SECTIONAL IMAGES

  • Received Date: 1991-09-09
  • Rev Recd Date: 1992-05-25
  • Publish Date: 1993-01-19
  • It is an active researching area to reconstruct the model of 3-dimensional object from cross-sectional images and to display its visible surfaces. In this paper, the theory and the method of reconstructing the model of 3-D object and displaving its visible surface from X-CT imaqes are studied. Giving the number of segment points, a polygonal approximation method is presented. Then a fast contour interpolating method is introduced. The reconstructed liver voxel set is displayed with the depth-only shading method and the depth gradient shading method, the result is satisfactory. The software is written in C language and runs on PC-VISION image processing system.
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  • E. Kepple, IBM, J. Res. Develop., 29(1975), 2-11.[2]H. Fuch, Z. M. Kedem, S. P. Uselton, Communications of the ACM, 20(1977)10, 693-70.[3]H. N. Christiansen, T. W. Sederberg, Computer Graphics, 12(1978)3, 187-192.[4]A. Sunguruff, D. Greenberg, Computer Graphics, 12(1978)3, 196-202.[5]G. T. Herman, H. K. Liu, Computer Graphics and Image Processing, 9(1979)1, 1-21.[6]D. J. Meagher, Efficient Synthetic Image Generation of Arbitrary 3-D Objects, Proc. of the IEEE Computer Society Conf. on Pattern Recognition and Image Processing, 1982, Las Vegas, NV, pp. 473-478.[7]W. E. Lorensen, H. E. Cline, Computer Graphics, 21(1987)4, 16.3-169.[8][8][9]Wei-Chung Liu et al., IEEE Trans, on MI, MI-7(19138)3, 225-232.[10]Gideon Frieder, Dan Gordon, R. Authory Reynolds. IEEE Computer Graphics and Application, 5(1985)1, 52-60.[11]Dan Gordon, R. A. Reynolds, Computer Vision, Graphics and Image Processing, 29(1985)3, 361-376.
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