• DocumentCode
    3521718
  • Title

    Simulation Research of Applying Two-dimensional Empirical Mode Decomposition on Image Feature Extraction

  • Author

    Wang, Qin ; Jin, Ran ; Gao, Kun

  • Author_Institution
    Sch. of Comput. Sci. & Inf. Technol., Zhejiang Wanli Univ., Ningbo, China
  • fYear
    2010
  • fDate
    1-3 Nov. 2010
  • Firstpage
    402
  • Lastpage
    405
  • Abstract
    The edge feature extraction of image is one of the research fields of image processing theory and application. The traditional methods of image feature extraction are simple and proficient, but the accurate performance of the feature extracted is not even higher. As such, a new method for extracting image edge feature was proposed by using the two dimensional Empirical Mode Decomposition (2-D EMD) and Riesz Transform. Firstly, the image was decomposed to multi level Intrinsic Mode Function (IMF) by 2-D EMD, and then the Riesz Transform with stronger local preserving ability was used for analyzing their local properties instead of the Hilbert Transform, by which the edge feature extraction with higher resolution was carried on. Finally, simulation shows that the proposed method is feasible and valid.
  • Keywords
    Hilbert transforms; edge detection; feature extraction; Hilbert transform; Riesz transform; edge feature extraction; image feature extraction; image processing theory; local preserving ability; multilevel intrinsic mode function; two-dimensional empirical mode decomposition; 2-D EMD; Riesz transform; feature extraction; simulation research;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Semantics Knowledge and Grid (SKG), 2010 Sixth International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-8125-5
  • Electronic_ISBN
    978-0-7695-4189-1
  • Type

    conf

  • DOI
    10.1109/SKG.2010.70
  • Filename
    5663568