• DocumentCode
    3075458
  • Title

    Edge detection using the linear model

  • Author

    Kay, Steven N. ; Lemay, Gerald I.

  • Author_Institution
    University of Rhode Island, Kingston, RI, USA
  • Volume
    9
  • fYear
    1984
  • fDate
    30742
  • Firstpage
    577
  • Lastpage
    580
  • Abstract
    An edge detector based on the linear model is developed which utilizes the generalized likelihood ratio for statistical hypothesis testing. The performance of this detector is analytically and experimentally compared to that of a gradient operator (Sobel) and is shown to have a slightly higher detection rate for a given false alarm rate. The detector is also invariant to multiplicative changes of the gray-scale values of the image.
  • Keywords
    Convolution; Detectors; Image converters; Image edge detection; Maximum likelihood estimation; Performance analysis; Random variables; Robots; Testing; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '84.
  • Type

    conf

  • DOI
    10.1109/ICASSP.1984.1172663
  • Filename
    1172663
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3075458