• DocumentCode
    2169956
  • Title

    An Improved Algorithm for Harris Corner Detection

  • Author

    Ye, Zhiyong ; Pei, Yijian ; Shi, Jihong

  • Author_Institution
    Sch. of Inf., Yunnan Univ., Kunming, China
  • fYear
    2009
  • fDate
    17-19 Oct. 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Corner points are formed from two or more edges and edges usually define the boundary between two different objects or parts of the same objects. In this novel we discuss the theory of the Harris corner detection and indicate its disadvantage. Then it proposes an improved algorithm of Harris detection algorithm based on the neighboring point eliminating method. It reduces the time of the detection, and makes the corners distributing more homogenous so that avoids too many corners stay together. Experimental results show that the algorithm can detect corner more equality distributing, and can be used in some fact applications such as image registration well.
  • Keywords
    edge detection; image registration; Harris corner detection; image registration; neighboring point eliminating method; Autocorrelation; Brightness; Change detection algorithms; Clustering algorithms; Detection algorithms; Eigenvalues and eigenfunctions; Feature extraction; Image edge detection; Image registration; Object detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image and Signal Processing, 2009. CISP '09. 2nd International Congress on
  • Conference_Location
    Tianjin
  • Print_ISBN
    978-1-4244-4129-7
  • Electronic_ISBN
    978-1-4244-4131-0
  • Type

    conf

  • DOI
    10.1109/CISP.2009.5304635
  • Filename
    5304635