• DocumentCode
    2136491
  • Title

    Improved Algorithm about Subpixel Edge Detection Based on Zernike Moments and Three-Grayscale Pattern

  • Author

    Zheng Xiao-Peng ; Bi Yuan-Wei

  • Author_Institution
    Sch. of Comput. Sci. & Technol., Yantai Univ., Yantai, China
  • fYear
    2009
  • fDate
    17-19 Oct. 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    The principle of Zernike moments and the method of sub-pixel edge detection based on Zernike moments were introduced in this paper. With the consideration of the limitation of the subpixel edge detection algorithm by Ghosal, such as the lower location precision of the edge and the extracted wider edge than that of the original image, an improved algorithm was proposed. A new pattern with three-grayscale for edge detection was put forward to detect the edge calculating masks of size seven multiply seven to get difference order Zernike moments. Additionally, experiments were designed and implemented. The experiment results show that accuracy of the improved algorithm is higher than that obtained from using Ghosal algorithm.
  • Keywords
    Zernike polynomials; edge detection; Ghosal algorithm; Zernike moments; subpixel edge detection; three-grayscale pattern; Application software; Computer science; Computer vision; Gray-scale; Hysteresis; Image edge detection; Laplace equations; Noise robustness; Polynomials; Process control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image and Signal Processing, 2009. CISP '09. 2nd International Congress on
  • Conference_Location
    Tianjin
  • Print_ISBN
    978-1-4244-4129-7
  • Electronic_ISBN
    978-1-4244-4131-0
  • Type

    conf

  • DOI
    10.1109/CISP.2009.5303388
  • Filename
    5303388