• DocumentCode
    535114
  • Title

    Construction of NPR biorthogonal wavelet and its application in edge detection

  • Author

    Zhu, Qiang ; Lao, Qicheng

  • Author_Institution
    Mech. & Electr. Eng. Inst., Xi´´an Technol. Univ., Xi´´an, China
  • Volume
    3
  • fYear
    2010
  • fDate
    16-18 Oct. 2010
  • Firstpage
    1049
  • Lastpage
    1053
  • Abstract
    Based on parameterized algebraical method, the non-prefect reconstruction (NPR) biorthogonal wavelet is presented. According to the particularity of image edge detection process, the perfect construction condition is relaxed. The low pass decomposition filter of non-prefect reconstruction biorthogonal wavelet is even symmetry about zero location, so that the edge position is more accuracy in multi-scale decomposition. The high pass decomposition filter is odd symmetry about 1/2 location and the sign is monotonic. The wavelet with above properties can ensure the validity of edge detection.
  • Keywords
    edge detection; low-pass filters; NPR biorthogonal wavelet; image edge detection process; low pass decomposition filter; non-prefect reconstruction; parameterized algebraical method; perfect construction condition; Filter bank; Image edge detection; Image reconstruction; Information filters; Low pass filters; Wavelet transforms; biorthogonal; edge detection; filter banks; non-prefect reconstruction; symmetry;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image and Signal Processing (CISP), 2010 3rd International Congress on
  • Conference_Location
    Yantai
  • Print_ISBN
    978-1-4244-6513-2
  • Type

    conf

  • DOI
    10.1109/CISP.2010.5646925
  • Filename
    5646925