• DocumentCode
    3061067
  • Title

    Recursive Computation of Forward Krawtchouk Moment Transform Using Clenshaw´s Recurrence Formula

  • Author

    Venkataramana, A. ; Raj, P. Ananth

  • Author_Institution
    Dept. of ECE, Gov. Polytech. Coll., Mahabubnagar, India
  • fYear
    2011
  • fDate
    15-17 Dec. 2011
  • Firstpage
    200
  • Lastpage
    203
  • Abstract
    Forward Krawtchouk moment transform (FKMT) needs more computations when a straightforward method of computation is chosen. Hence, this paper proposes a simple recursive method to reduce the number of computations using a Clenshaw´s recurrence formula. Further, it is also shown that the number of computations can still be reduced by using the symmetry property of weighted Krawtchouk polynomials that are used to define FKMT. The proposed approach is verified with theoretical calculations as well as CPU time required for computation of FKMT of 1D and 2D points. The obtained recursive structure is simple and modular, Hence, it is suitable for parallel VLSI implementation.
  • Keywords
    VLSI; image reconstruction; inverse transforms; method of moments; polynomials; recursive estimation; Clenshaw recurrence formula; FKMT; forward Krawtchouk moment transform; image reconstruction; parallel VLSI implementation; recursive method; weighted Krawtchouk polynomials; Educational institutions; Image analysis; Image reconstruction; Pattern recognition; Polynomials; Transforms; Very large scale integration; Clenshaw´s recurrence formula; Image Reconstruction; Krawtchouk moment transform; Very-large-scale-integration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG), 2011 Third National Conference on
  • Conference_Location
    Hubli, Karnataka
  • Print_ISBN
    978-1-4577-2102-1
  • Type

    conf

  • DOI
    10.1109/NCVPRIPG.2011.66
  • Filename
    6133035