• DocumentCode
    2996161
  • Title

    A novel fast subpixel edge location method based on Sobel-OFMM

  • Author

    Zunfeng, Hu ; Hongshe, Dang ; Xiaorui, Li

  • Author_Institution
    Sch. of Electr. & Inf. Eng., Shaanxi Univ. of Sci. & Technol., Xi´´an
  • fYear
    2008
  • fDate
    1-3 Sept. 2008
  • Firstpage
    828
  • Lastpage
    832
  • Abstract
    Edge detection is a decisive step in vision measurement process. A novel efficient subpixel edge location algorithm based on Sobel-OFMM is presented in the paper. This algorithm firstly makes use of gradient operator, Sobel, to extract all possible edge points at pixel level and then utilizes subpixel-level edge detection operator, Orthogonal Fourier-Mellin Moment which uses lower radial orders and rotation invariance of moments to describe specific objects in the image. Experiment results show that this algorithm could achieve higher location accuracy and consume less time compared with Zernike and OFMM subpixel edge location operator. It can be concluded that this algorithm is efficient to implement subpixel-level edge detection and improve measuring accuracy in vision measuring technology.
  • Keywords
    edge detection; gradient methods; mathematical operators; method of moments; Sobel-OFMM; edge detection; fast subpixel edge location; gradient operator; orthogonal Fourier-Mellin moment; vision measurement process; Accuracy; Automation; Data mining; Electric variables measurement; Filtering; Gray-scale; Image edge detection; Logistics; Pixel; Watermarking; Edge detection; OFMM; Sobel operator; Subpixel edge detection; Vision measuring;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Automation and Logistics, 2008. ICAL 2008. IEEE International Conference on
  • Conference_Location
    Qingdao
  • Print_ISBN
    978-1-4244-2502-0
  • Electronic_ISBN
    978-1-4244-2503-7
  • Type

    conf

  • DOI
    10.1109/ICAL.2008.4636264
  • Filename
    4636264