• DocumentCode
    433035
  • Title

    Blurred image recognition based on complex moment invariants

  • Author

    Tianxu, Zhang ; Jin, Liu

  • Author_Institution
    State Key Lab. of Image Process. & Intelligent Control, Huazhong Univ. of Sci. & Technol., Hubei, China
  • Volume
    3
  • fYear
    2004
  • fDate
    24-27 Oct. 2004
  • Firstpage
    2131
  • Abstract
    An important class of radiometric degradations we are faced with often in practice is image blurring. Special attention is paid to the recognition of the blurred image by moment invariant approach. Some important rules of complex moments for the blurred image are presented. Based on these rules, a useful subset of moment invariants is introduced, that are not affected by the blur, rotation, scale, and translation of the images. The experiments have shown that these invariants can be successfully used in recognition of the blurred image.
  • Keywords
    Gaussian processes; image recognition; image restoration; image blurring; image recognition; image rotation; image scale; image translation; moment invariant approach; radiometric degradation; Biomedical imaging; Cameras; Character recognition; Computer vision; Convolution; Degradation; Image recognition; Layout; Radiometry; Target recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 2004. ICIP '04. 2004 International Conference on
  • ISSN
    1522-4880
  • Print_ISBN
    0-7803-8554-3
  • Type

    conf

  • DOI
    10.1109/ICIP.2004.1421507
  • Filename
    1421507