• DocumentCode
    302137
  • Title

    Optimal soft morphological filtering under breakdown probability constraints

  • Author

    Koivisto, Pertti ; Huttunen, Heilcki ; Kuosmanen, Pauli

  • Author_Institution
    Signal Process. Lab., Tampere Univ. of Technol., Finland
  • Volume
    2
  • fYear
    1996
  • fDate
    12-15 May 1996
  • Firstpage
    112
  • Abstract
    A robust filtering method with good detail preservation properties is a desideratum in many signal processing applications. Unfortunately, it is typically difficult to design a filter having these two properties simultaneously. This paper gives a method to optimize filters by giving different penalties for deviations from the robustness and from the detail preservation requirements. It is illustrated that by relaxing the robustness requirement a little, the optimal filter can obtain significantly improved detail preservation properties
  • Keywords
    filtering theory; image processing; mathematical morphology; probability; breakdown probability constraints; detail preservation; optimal soft morphological filtering; robustness; signal processing; Digital filters; Electric breakdown; Filtering; Kernel; Laboratories; Morphological operations; Noise robustness; Nonlinear filters; Optimization methods; Signal processing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 1996. ISCAS '96., Connecting the World., 1996 IEEE International Symposium on
  • Conference_Location
    Atlanta, GA
  • Print_ISBN
    0-7803-3073-0
  • Type

    conf

  • DOI
    10.1109/ISCAS.1996.540365
  • Filename
    540365