• DocumentCode
    1888106
  • Title

    Improved Texture Retrieval Based on Nonsubsampled Contourlet

  • Author

    Zhu, Zhengli ; Zhao, Chunxia ; Hou, Yingkun ; Ma, Changxia

  • Author_Institution
    Sch. of Comput. Sci. & Technol., Nanjing Univ. of Sci. & Technol., Nanjing, China
  • fYear
    2010
  • fDate
    25-26 Dec. 2010
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    This paper presents an improved algorithm of image texture retrieval based on nonsubsampled contourlet transform and grey co-occurrence matrix of image. The new improved algorithm not only depends on coefficients of sub bands by nonsubsampled contourlet transform, but also depends on angular second moment, moment inertia, inverse difference moment, correlation of grey co-occurrence matrix of image. Experimental results demonstrate that the proposed algorithm performs much better than the previous methods. It achieves higher recall precision.
  • Keywords
    image texture; inverse problems; matrix algebra; transforms; angular second moment; grey cooccurrence matrix correlation; image texture retrieval; inverse difference moment; moment inertia; nonsubsampled contourlet transform; Correlation; Feature extraction; Gabor filters; Image retrieval; Wavelet transforms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Engineering and Computer Science (ICIECS), 2010 2nd International Conference on
  • Conference_Location
    Wuhan
  • ISSN
    2156-7379
  • Print_ISBN
    978-1-4244-7939-9
  • Electronic_ISBN
    2156-7379
  • Type

    conf

  • DOI
    10.1109/ICIECS.2010.5677788
  • Filename
    5677788