• DocumentCode
    2307667
  • Title

    A moment-based approach for deskewing rotationally symmetric shapes

  • Author

    Pei, Soo-Chang ; Horng, Ji-Hwei

  • Author_Institution
    Dept. of Electr. Eng., Nat. Taiwan Univ., Taipei, Taiwan
  • Volume
    1
  • fYear
    1996
  • fDate
    25-29 Aug 1996
  • Firstpage
    248
  • Abstract
    The covariance matrix of a rotationally symmetric shape is a scalar identity matrix. We apply this property of covariance matrix to deskew the skewed shape of rotational symmetry. The parameters of the deskew transformation matrix are solved by letting the covariance matrix of the transformed shape be equal to a scalar identity matrix. Then, the rotationally symmetric shape can be recovered by the deskew transformation matrix. The method does not rely on continuous contours, since only second-order moments of the input shape are required to be computed. Experimental results are also presented
  • Keywords
    computational complexity; covariance matrices; image processing; method of moments; covariance matrix; deskew transformation matrix; deskewing; image analysis; rotationally symmetric shapes; scalar identity matrix; second-order moments; Covariance matrix; Equations; Graphics; Image analysis; Metalworking machines; Shape; Symmetric matrices; Transmission line matrix methods;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 1996., Proceedings of the 13th International Conference on
  • Conference_Location
    Vienna
  • ISSN
    1051-4651
  • Print_ISBN
    0-8186-7282-X
  • Type

    conf

  • DOI
    10.1109/ICPR.1996.546028
  • Filename
    546028