• DocumentCode
    537340
  • Title

    Image Processing by Invariant Moments: Texture Segmentation Based on Pseudo Jacobi-Fourier Moments

  • Author

    Guleng Amu ; Li, Kaizhi ; Hasi, Surong

  • Author_Institution
    Dept. of Phys., Inner Mongolia Agric. Univ., Huhhot, China
  • fYear
    2010
  • fDate
    7-9 Nov. 2010
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Texture segmentation by Pseudo Jacobi -Fourier moments is presented in this paper. Given a window size, moments for each pixel in the image are computed within small local windows, and then texture feature images be obtained by using a nonlinear transducer. Finally, each pixel in the image is classified by K-mean clustering algorithm.
  • Keywords
    Fourier transforms; Jacobian matrices; feature extraction; image segmentation; image texture; pattern clustering; transducers; K-mean clustering algorithm; image processing; nonlinear transducer; pseudo Jacobi-Fourier moments; texture feature images; texture segmentation; Classification algorithms; Clustering algorithms; Image segmentation; Jacobian matrices; Pattern recognition; Pixel; Support vector machine classification;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    E-Product E-Service and E-Entertainment (ICEEE), 2010 International Conference on
  • Conference_Location
    Henan
  • Print_ISBN
    978-1-4244-7159-1
  • Type

    conf

  • DOI
    10.1109/ICEEE.2010.5661343
  • Filename
    5661343
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=537340