• DocumentCode
    3660197
  • Title

    A graph-theory-based Euler number computing algorithm

  • Author

    Bin Yao;Shiying Kang;Xiao Zhao;Yuyan Chao;Lifeng He

  • Author_Institution
    Artificial Intelligence Institute, College of Electrical and Information Engineering, Shaanxi University of Science and Technology, Xi´an, 710021, China
  • fYear
    2015
  • Firstpage
    1206
  • Lastpage
    1209
  • Abstract
    This paper proposes a new graph-theory-based Euler number computing algorithm. The proposed algorithm only needs to count two bit-quad patterns in the given image, while conventional bit-quad-based algorithms need to count ten. Moreover, by use of the information obtained during processing previous pixels, the average number of pixel checked for processing a bit-quad in the proposed algorithm will be less than that in conventional algorithms. Experimental results demonstrated that the performance of the proposed algorithm significantly overpasses conventional Euler number computing algorithms.
  • Keywords
    "Algorithm design and analysis","Image edge detection","Labeling","Pattern recognition","Classification algorithms","Noise","Conferences"
  • Publisher
    ieee
  • Conference_Titel
    Information and Automation, 2015 IEEE International Conference on
  • Type

    conf

  • DOI
    10.1109/ICInfA.2015.7279470
  • Filename
    7279470