• DocumentCode
    2034645
  • Title

    An improved image coding algorithm using morphological operator theory

  • Author

    Pai, Tun-Wen ; Hansen, John H L

  • Author_Institution
    Dept. of Electr. Eng., Duke Univ., Durham, NC, USA
  • fYear
    1991
  • fDate
    14-17 Apr 1991
  • Firstpage
    2761
  • Abstract
    A new algorithm for exact reconstruction of an original image from its morphological skeleton and edge structure is presented. The new technique results in improved computational performance and reduced memory storage requirements. The algorithm is also shown to have better performance characteristics than two previous algorithms in terms of data storage, data transmission rate, and computational complexity. If the size of the maximal element of a skeleton point is larger than the size of a unit structuring element, the algorithm will result in at least a 25% computational savings. The computational savings increases nonlinearly as the size of the maximal element increases
  • Keywords
    computational complexity; computerised pattern recognition; computerised picture processing; encoding; computational complexity; computational performance; data storage; data transmission rate; edge detection; image coding algorithm; memory storage requirements; morphological operator theory; Data communication; Image analysis; Image coding; Image edge detection; Image reconstruction; Memory; Morphological operations; Morphology; Shape; Skeleton;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 1991. ICASSP-91., 1991 International Conference on
  • Conference_Location
    Toronto, Ont.
  • ISSN
    1520-6149
  • Print_ISBN
    0-7803-0003-3
  • Type

    conf

  • DOI
    10.1109/ICASSP.1991.150974
  • Filename
    150974