• DocumentCode
    3216505
  • Title

    Segmentation by minimum length encoding

  • Author

    Keren, Daniel ; Marcus, Ruth ; Werman, Michael ; Peleg, Shmuel

  • Author_Institution
    Dept. of Comput. Sci., Hebrew Univ. of Jerusalem, Israel
  • Volume
    i
  • fYear
    1990
  • fDate
    16-21 Jun 1990
  • Firstpage
    681
  • Abstract
    A digitized waveform is approximated by segments whose total description length is minimal for a given error bound. This approximation can be computed efficiently and can be used for segmentation. Some applications involving the use of one-dimensional methods to segment two-dimensional gray-scale and range images are shown
  • Keywords
    encoding; pattern recognition; digitized waveform; error bound; minimum length encoding; one-dimensional methods; range images; segmentation; two-dimensional gray-scale images; Computer errors; Computer science; Costs; Encoding; Image coding; Image segmentation; Polynomials; Probability; Robustness; Statistics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 1990. Proceedings., 10th International Conference on
  • Conference_Location
    Atlantic City, NJ
  • Print_ISBN
    0-8186-2062-5
  • Type

    conf

  • DOI
    10.1109/ICPR.1990.118191
  • Filename
    118191
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3216505