中文

Journal of Applied Sciences ›› 2013, Vol. 31 ›› Issue (5): 495-502.doi: 10.3969/j.issn.0255-8297.2013.05.009

• Signal and Information Processing • Previous Articles     Next Articles

Construction and Application of Blur Invariants Based on Orthogonal Fourier-Mellin Moment

DAI Xiu-bin1, LIU Tian-liang2, SHU Hua-zhong3, LUO Li-min3   

  1. 1. College of Geographic and Biologic Information, Nanjing University of Post
    and Telecommunications, Nanjing 210046, China
    2. College of Telecommunications and Information Engineering, Nanjing University of Post
    and Telecommunications, Nanjing 210003, China
    3. School of Computer Science and Engineering, Southeast University,
    Nanjing 210096, China
  • Received:2012-07-24 Revised:2013-03-12 Online:2013-09-26 Published:2013-03-12

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Abstract: We propose a new set of blur invariants based on orthogonal Fourier-Mellin moments to effectively recognize blurred images. We establish the relationship between orthogonal Fourier-Mellin moments of the original and distorted images. We then use this relationship to construct blur invariants of orthogonal
Fourier-Mellin moment. The new blur invariants are used as feature descriptors to recognize blurred images. Experimental results show that，with different kind of blur degradation and different densities of noises introduced into the images，better invariance and higher recognition rates can be obtained by using the proposed invariants as compared to other blur invariants.

Key words: recognition of blurred image, blur invariant, orthogonal Fourier-Mellin moment

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