• DocumentCode
    384206
  • Title

    Optimal detection of blurred edges

  • Author

    Robinson, John A.

  • Author_Institution
    Dept. of Electron., York Univ., UK
  • Volume
    3
  • fYear
    2002
  • fDate
    2002
  • Firstpage
    831
  • Abstract
    I develop a variational model for the detection of blurred edges. Though yielding a complicated general solution, the model gives insight into edge detection models previously proposed for step edges. In particular it shows that a previous IIR solution for step edges is correct even in the FIR case, and suggests why operators approximating the first derivative of a gaussian are successful, despite their suboptimality for step edge detection.
  • Keywords
    edge detection; mathematical operators; variational techniques; FIR case; IIR solution; edge detection models; first Gaussian derivative approximation; operators; optimal blurred edge detection; step edges; variational model; Additive noise; Additive white noise; Convolution; Finite impulse response filter; Gaussian noise; H infinity control; Image edge detection; Multi-stage noise shaping; Shape; Signal detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 2002. Proceedings. 16th International Conference on
  • ISSN
    1051-4651
  • Print_ISBN
    0-7695-1695-X
  • Type

    conf

  • DOI
    10.1109/ICPR.2002.1048152
  • Filename
    1048152