计算机工程与应用 ›› 2009, Vol. 45 ›› Issue (23): 176-178.DOI: 10.3778/j.issn.1002-8331.2009.23.049

• 图形、图像、模式识别 • 上一篇    下一篇

基于方向导数和B样条小波的图像边缘检测

赵志刚,杨应平,蒋爱湘,彭榆伟   

  1. 武汉理工大学 理学院,武汉 430070
  • 收稿日期:2008-05-06 修回日期:2008-08-15 出版日期:2009-08-11 发布日期:2009-08-11
  • 通讯作者: 赵志刚

Image edge detection based on directional derivative and cubic B-spline wavelet

ZHAO Zhi-gang,YANG Ying-ping,JIANG Ai-xiang,PENG Yu-wei
  

  1. School of Science,Wuhan University of Technology,Wuhan 430070,China
  • Received:2008-05-06 Revised:2008-08-15 Online:2009-08-11 Published:2009-08-11
  • Contact: ZHAO Zhi-gang

摘要: 根据图像边缘及噪声的多尺度传播特性和小波边缘检测的基本原理,提出了一种基于方向导数和三次B样条小波的边缘检测算法。该算法兼顾图像边缘的方向特征和小波基对称、线性相位的特点,较好地解决了边缘提取精度与噪声抑制能力之间的矛盾。通过计算机仿真对该算法进行验证,结果表明该算法不仅能准确地检测出图像边缘,而且能有效地抑制噪声,优于传统的边缘检测算法。

Abstract: According to the multi-scale propagation characteristic of image edge and noise as well as principle of edge detection using wavelet transforman,an algorithm based on cubic B-spline wavelet and directional derivative is presented.The algorithm takes not only edge direction of an image,but also symmetry and linear phase feature of the wavelet base into account,so well resolves the contradiction between the detection precision and the noise suppression ability.Computer simulation results show that this algorithm is superior to traditional edge detection algorithms with both precise image edge detection and effective noise restraining.

中图分类号: