• DocumentCode
    1637354
  • Title

    Subpixel Edge Location Using Orthogonal Fourier-Mellin Moments Based Edge Location Error Compensation Model

  • Author

    Lee, Wen-Chia ; Chen, Chin-Hsing

  • Author_Institution
    Inst. of Comput. & Commun. Eng., Nat. Cheng Kung Univ., Tainan
  • Volume
    3
  • fYear
    2008
  • Firstpage
    346
  • Lastpage
    351
  • Abstract
    In order to improve the edge location accuracy of vision measurements, this paper presents a compensation model for edge location calculation using the orthogonal Fourier-Mellin moments (OFMMs). The edge location error is the difference between the sampling edge location and the actual one which occurs when the edge location is not within the center pixel and pixel boundaries. We established a look-up table which as the compensation model to eliminate the error for OFMMs.Experimental results showed that the proposed model can be used to correct the error of edge location. The precision of 0.19 pixel by using OFMMs with the compensation model can be achieved. It can be concluded that the proposed method is an efficient approach to satisfy the practical requirements for high accuracy for edge detection.
  • Keywords
    computer vision; edge detection; error compensation; image sampling; integral equations; method of moments; table lookup; center pixel; edge detection; edge location error compensation model; look-up table; orthogonal Fourier-Mellin moment; pixel boundaries; sampling edge location; subpixel edge location; vision measurement; Additive noise; Application software; Computer errors; Computer vision; Design engineering; Error compensation; Image edge detection; Intelligent systems; Sampling methods; Table lookup; Orthogonal Fourier–Mellin moment; Subpixel edge location; edge detection; error compensation model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems Design and Applications, 2008. ISDA '08. Eighth International Conference on
  • Conference_Location
    Kaohsiung
  • Print_ISBN
    978-0-7695-3382-7
  • Type

    conf

  • DOI
    10.1109/ISDA.2008.278
  • Filename
    4696488