• DocumentCode
    2973431
  • Title

    Improvement and invariance analysis of Zernike moments using as a region-based shape descriptor

  • Author

    Bin, Ye ; Jia-xiong, Peng

  • Author_Institution
    Inst. for Pattern Recognition, Huazhong Univ. of Sci. & Technol., China
  • fYear
    2002
  • fDate
    2002
  • Firstpage
    120
  • Lastpage
    127
  • Abstract
    An improved Zernike moment using as a region-based shape descriptor is presented. The improved Zernike moment not only has rotation invariance, but also has scale invariance that the unimproved Zernike moment does not have. The experimental results show that the improved Zernike moment has better invariant properties than unimproved Zernike moment using as region-based shape descriptor.
  • Keywords
    Zernike polynomials; computer vision; Zernike moments; computer vision; invariance analysis; region based shape descriptor; region-based shape descriptor; rotation invariance; scale invariance; Artificial intelligence; Content based retrieval; Image databases; Image processing; Image retrieval; Intelligent control; Multi-stage noise shaping; Pattern recognition; Shape; Trademarks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Graphics and Image Processing, 2002. Proceedings. XV Brazilian Symposium on
  • ISSN
    1530-1834
  • Print_ISBN
    0-7695-1846-X
  • Type

    conf

  • DOI
    10.1109/SIBGRA.2002.1167134
  • Filename
    1167134
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2973431