• DocumentCode
    2886880
  • Title

    Computing Orthogonal Moments in Biomedical Imaging

  • Author

    Papakostas, G.A. ; Koulouriotis, D.E. ; Karakasis, E.G.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Democritus Univ. of Thrace (DUTH), Xanthi, Greece
  • fYear
    2009
  • fDate
    18-20 June 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    A novel methodology that permits the computation of the orthogonal moments of biomedical images in high rates is presented in this paper. The proposed methodology is making use of the inherent property the biomedical images have, the limited number of intensity values in the gray scale. This morphological characteristic facilitates the application of the ISR (Image Slice Representation) algorithm, proposed by the authors, to decompose a gray-scale image to a finite number of nonoverlapping slices. The image´s pixels belonging to a specific slice can be organized as homogenous rectangular blocks in order to simplify the moments´ computation formulas. Appropriate experiments on biomedical images have shown that the proposed technique can accelerate the moment´s computation significantly, by reducing the overall time about 50%.
  • Keywords
    biomedical imaging; brain; image representation; image resolution; medical image processing; ISR algorithm; biomedical imaging; brain; gray-scale image; homogenous rectangular blocks; image pixels; image slice representation algorithm; intensity values; morphological characteristic; nonoverlapping slices; orthogonal moment computation; Acceleration; Biomedical computing; Biomedical imaging; Engineering management; Gray-scale; Image analysis; Image coding; Pixel; Polynomials; Production engineering;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Signals and Image Processing, 2009. IWSSIP 2009. 16th International Conference on
  • Conference_Location
    Chalkida
  • Print_ISBN
    978-1-4244-4530-1
  • Electronic_ISBN
    978-1-4244-4530-1
  • Type

    conf

  • DOI
    10.1109/IWSSIP.2009.5367687
  • Filename
    5367687