Journal of South China University of Technology (Natural Science Edition) ›› 2011, Vol. 39 ›› Issue (2): 51-59.doi: 10.3969/j.issn.1000-565X.2011.02.009

• Electronics, Communication & Automation Technology • Previous Articles     Next Articles

Modified Noble Corner Detection Algorithm Based on Fine Tuning of Local Entropy and Variance

Ma Li-hong  Ren Miao  Tan Xing-jun   

  1. South China university of technology and the university of guangdong province wireless communication network terminal key laboratory ∥ electronics and information institute, guangdong guangzhou 510640
  • Received:2010-05-14 Revised:2010-07-31 Online:2011-02-25 Published:2011-01-02
  • Contact: 马丽红(1965-)，女，教授，博士，主要从事图像视频信号处理、容错编码和数据隐藏、模式识别研究 E-mail:eelhma@scut.edu.cn
  • About author:马丽红(1965-)，女，教授，博士，主要从事图像视频信号处理、容错编码和数据隐藏、模式识别研究
  • Supported by:

    国家自然科学基金资助项目(60972133)；广东省自然科学基金团队项目(9351064101000003)；广东省绿色能源技术重点实验室开放基金资助项目(2008A060301002)

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Abstract:

In order to improve the accuracy of corner detection and enhance the ability of false corner suppression,an improved Noble corner detection algorithm based on image entropy and variance is proposed by taking into consideration the differences in statistical characteristics among different regions in gray images.First,the initial refe-rence values of the threshold of corner response function and of the window size for non-maximum suppression are respectively determined.Then,two fine-tuning coefficients corresponding to the two initial values are calculated for each region respectively according to its local entropy and variance.Finally,the reference values are weighted with the two fine-tuning coefficients,and the local threshold and its window size for non-maximum suppression,which adapt to signal structure,are obtained for each region.Experimental results show that the proposed algorithm can accurately locate most true corners and effectively eliminate the interference of false corners.

Key words: Noble corner detector, entropy, variance, local threshold, non-maximum suppression