• DocumentCode
    3345967
  • Title

    Asymmetric fourier descriptor of non-closed segments

  • Author

    Ding, Jian-Jiun ; Chao, Wei-Lun ; Huang, Jiun-De ; Kuo, Cheng-Jin

  • Author_Institution
    Grad. Inst. of Commun. Eng., Nat. Taiwan Univ., Taipei, Taiwan
  • fYear
    2010
  • fDate
    26-29 Sept. 2010
  • Firstpage
    1613
  • Lastpage
    1616
  • Abstract
    The Fourier descriptor is an efficient and effective way to describe a closed boundary. However, for a non-closed segment, since the two non-adjacent end points result in signal discontinuity, after eliminating the high-frequency part, the reconstructed segment has large error near the two ends. In this paper, we propose a warping method to connect the two ends and perform odd-symmetric extension to smooth the warped segment around them. With these modifications, the high-frequency components near the two ends can be much reduced and we can obtain the reconstructed segment with accurate end-point locations even when only the low frequency coefficients are preserved. This method could also be used for a closed boundary with a pre-segmentation process, and the experimental result shows that with the same boundary compression rate, our method has better reconstruction quality than directly extracting Fourier descriptors on the closed boundary.
  • Keywords
    data compression; discrete Fourier transforms; edge detection; image coding; image reconstruction; image segmentation; asymmetric Fourier descriptor; boundary compression rate; data compression; discrete Fourier transform; end-point location; frequency coefficient; image coding; image edge analysis; image reconstruction; image segmentation; nonclosed segment; odd-symmetric extension; presegmentation process; reconstruction quality; warping method; Digital images; Discrete Fourier transforms; Feature extraction; Image coding; Image reconstruction; Image segmentation; Shape; data compression; discrete Fourier transforms; image coding; image edge analysis; image line pattern analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2010 17th IEEE International Conference on
  • Conference_Location
    Hong Kong
  • ISSN
    1522-4880
  • Print_ISBN
    978-1-4244-7992-4
  • Electronic_ISBN
    1522-4880
  • Type

    conf

  • DOI
    10.1109/ICIP.2010.5652178
  • Filename
    5652178