• DocumentCode
    1114237
  • Title

    A Threshold Selection Technique

  • Author

    Weszka, J.S. ; Nagel, R.N. ; Rosenfeld, A.

  • Author_Institution
    Computer Science Center, University of Maryland
  • Issue
    12
  • fYear
    1974
  • Firstpage
    1322
  • Lastpage
    1326
  • Abstract
    Threshold selection for picture segmentation is relatively easy when the frequency distribution of gray levels in the picture is strongly bimodal, with the two peaks comparable insize and separated by a deep valley. This report describes a method of handling cases in which the peaks are very unequal in size and the valley is broad. A Laplacian operation is applied to the picture to determine points that lie on or near the edges of objects. Threshold selection becomes easier when the frequency distribution of gray levels of these points is used.
  • Keywords
    Laplacian operator, picture processing, scene analysis, segmentation, thresholding.; Computer science; Detectors; Digital filters; Frequency; Histograms; Image analysis; Image processing; Laplace equations; Laplacian operator, picture processing, scene analysis, segmentation, thresholding.;
  • fLanguage
    English
  • Journal_Title
    Computers, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9340
  • Type

    jour

  • DOI
    10.1109/T-C.1974.223858
  • Filename
    1672451