• DocumentCode
    2921753
  • Title

    Novel FIR approximations of IIR differentiators with applications to image edge detection

  • Author

    Al-Alaoui, Mohamad Adnan

  • Author_Institution
    Electr. & Comput. Eng., American Univ. of Beirut, Beirut, Lebanon
  • fYear
    2011
  • fDate
    11-14 Dec. 2011
  • Firstpage
    554
  • Lastpage
    558
  • Abstract
    In this work, an FIR approximation of the Al-Alaoui first order IIR differentiator is presented. The resulting FIR filter is shown to perform a good approximation of the IIR differentiator. Furthermore, it is shown to outperform other FIR approximations, obtained via windowing techniques, of the Al-Alaoui first order IIR differentiator. The obtained FIR differentiator is used to generate masks for image edge detection. The results show the superiority of the masks derived from the new FIR filter when compared to other techniques in image edge detection.
  • Keywords
    FIR filters; edge detection; Al-Alaoui first order IIR differentiator; FIR approximations; FIR filter; image edge detection; Approximation methods; Finite impulse response filter; Gaussian noise; IIR filters; Image edge detection; Smoothing methods; Al-Alaoui operator; Canny edge detection; Edge detection; Prewitt mask; Sobel mask;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronics, Circuits and Systems (ICECS), 2011 18th IEEE International Conference on
  • Conference_Location
    Beirut
  • Print_ISBN
    978-1-4577-1845-8
  • Electronic_ISBN
    978-1-4577-1844-1
  • Type

    conf

  • DOI
    10.1109/ICECS.2011.6122335
  • Filename
    6122335