• DocumentCode
    1152828
  • Title

    Quantitative analysis of a moment-based edge operator

  • Author

    Eichel, Paul H. ; Delp, Edward J.

  • Author_Institution
    Michigan Univ., Ann Arbor, MI, USA
  • Volume
    20
  • Issue
    1
  • fYear
    1990
  • Firstpage
    58
  • Lastpage
    66
  • Abstract
    An operator that is based on the sample variance of a group of pixels is introduced. It exhibits three unique properties: freedom from a predefined shape, low computational complexity and a rigorous stochastic formulation. The utility of the latter property in applying detection-theoretic principles to the task of edge detection and in theoretical predictions of experimental performance measures is demonstrated. The operator is compared with other common edge operators on natural scenes
  • Keywords
    pattern recognition; picture processing; edge detection; moment-based edge operator; natural scenes; pattern recognition; picture processing; pixels; sample variance; stochastic formulation; Computational complexity; Computer vision; Detectors; Image edge detection; Layout; Mathematical analysis; Parametric statistics; Pixel; Shape; Stochastic processes;
  • fLanguage
    English
  • Journal_Title
    Systems, Man and Cybernetics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9472
  • Type

    jour

  • DOI
    10.1109/21.47809
  • Filename
    47809