• DocumentCode
    2390901
  • Title

    Modelling digital straight lines

  • Author

    Gross, Ari ; Latecki, Longin Jan

  • Author_Institution
    Dept. of Comput. Sci., Queens Coll., Flushing, NY, USA
  • Volume
    2
  • fYear
    1996
  • fDate
    25-29 Aug 1996
  • Firstpage
    156
  • Abstract
    We present a realistic mathematical model of a digitized edge which handles both blurring and arbitrary thresholding. We show that a thresholded digital image of a blurred half-plane obtained for some unknown threshold value is equal to the image of a perfectly focused half-plane with the same slope obtained by object boundary quantisation. This result implies that recovering the slope of a blurred half-plane, given its image obtained for some unknown threshold value, reduces to recovering the slope of a perfectly focused half-plane under object boundary quantization. Therefore, the previous results and algorithms for the recovery of straight lines, which mainly assumed object boundary quantization, are also valid if we assume this more realistic digitization model
  • Keywords
    edge detection; image segmentation; blurred half-plane; blurring; digital straight lines; object boundary quantisation; object boundary quantization; perfectly focused half-plane; thresholded digital image; thresholding; Computer science; Digital images; Educational institutions; Focusing; Image analysis; Image edge detection; Image segmentation; Mathematical model; Object recognition; Quantization;
  • 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.1996.546743
  • Filename
    546743