• DocumentCode
    3027799
  • Title

    Edge detection approach based on directionlet transform

  • Author

    Bai, Jing ; Zhou, Huaji

  • Author_Institution
    Key Lab. of Intell. Perception & Image Understanding of Minist. of Educ. of China, Xidian Univ., Xi´´an, China
  • fYear
    2011
  • fDate
    26-28 July 2011
  • Firstpage
    3512
  • Lastpage
    3515
  • Abstract
    Due to possessing the multi-direction anisotropic basis functions, directionlet transform can capture the inherent geometrical feature of the image. A directionlet transform -based edge detection approach is proposed in this paper. In the approach, we filter along any two directions with two slopes to capture abundant edge information. In addition, we use the multiscale characteristics of directionlet transform. Combine the advantage of small and large scales to get the desirable edge. The experiments indicate that the proposed approach outperforms wavelet and any other traditional approaches.
  • Keywords
    computational geometry; edge detection; transforms; directionlet transform; edge detection; image geometrical feature; multidirection anisotropic basis function; multiscale characteristic; Feature extraction; Generators; Image edge detection; Noise; Wavelet analysis; Wavelet transforms; Directionlet transform; edge detection; multiscale;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia Technology (ICMT), 2011 International Conference on
  • Conference_Location
    Hangzhou
  • Print_ISBN
    978-1-61284-771-9
  • Type

    conf

  • DOI
    10.1109/ICMT.2011.6001940
  • Filename
    6001940