Journal of South China University of Technology (Natural Science Edition) ›› 2006, Vol. 34 ›› Issue (7): 65-68.

• Computer Science & Technology • Previous Articles     Next Articles

Hierarchical Fast Corner Detection Based on SUSAN Algorithm

Shao Ze-ming  Zhu Jian-ying  Wang Hua-ming   

  1. College of Mechanical and Electrical Engineering,Nanjing Univ.of Aeronautics and Astronautics,Nanjing 210016,Jiangsu,China
  • Received:2005-10-17 Online:2006-07-25 Published:2006-07-25
  • Contact: 邵泽明(1975-)，男，博士生，主要从事图像处理、机器视觉的研究． E-mail:nj_szm@sohu.com
  • About author:邵泽明(1975-)，男，博士生，主要从事图像处理、机器视觉的研究．
  • Supported by:

    国家自然科学基金资助项目(50275078)

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Abstract:

The reason for the low speed of SUSAN algorithm in comer detection is analyzed,and a hierarchical fastcomer detection algorithm based on SUSAN algorithm is proposed. According to the gray similarity around pixels and the comer properties in an image,the theory of lifting wavelet transform and the coarse-to-fine hierarchical strategy are adopted to process the image,with the aim of finding the coarse positions of comers. Then,the comers are finely searched and precisely located by using SUSAN algorithm. Experimental results show that the proposed algorithm mRS fast and saves much runtime.

Key words: SUSAN algorithm, comer detection, hierarchy, lifting wavele