东北大学学报（自然科学版）

东北大学学报(自然科学版) ›› 2005, Vol. 26 ›› Issue (12): 1131-1133.DOI: -

• 论著 • 上一篇    下一篇

综合Canny法与小波变换的边缘检测方法

王蓉;高立群;柴玉华;田磊;   

  1. 东北大学信息科学与工程学院;东北大学信息科学与工程学院;东北大学信息科学与工程学院;中芯国际北京集成电路制造有限公司 辽宁沈阳110004;辽宁沈阳110004;辽宁沈阳110004;东北农业大学工程学院;黑龙江哈尔滨150030;北京100176
  • 收稿日期:2013-06-24 修回日期:2013-06-24 出版日期:2005-12-15 发布日期:2013-06-24
  • 通讯作者: Wang, R.
  • 作者简介:-
  • 基金资助:
    公安部重点项目(20029322301);;

Edge detection approach combining canny and wavelet transform

Wang, Rong (1); Gao, Li-Qun (1); Chai, Yu-Hua (1); Tian, Lei (3)   

  1. (1) School of Information Science and Engineering, Northeastern University, Shenyang 110004, China; (2) College of Engineering, Northeastern Agricultural University, Harbin 150030, China; (3) Semiconductor Manufacturing International Corporation, Beijing 100176, China
  • Received:2013-06-24 Revised:2013-06-24 Online:2005-12-15 Published:2013-06-24
  • Contact: Wang, R.
  • About author:-
  • Supported by:
    -

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摘要： 提出一种Canny法与小波变换相结合的边缘检测方法.首先,对源图像进行小波分解,在不同分解层上对高频子图像用小波模极大法进行边缘检测,对低频子图像用Canny法进行边缘检测,然后采用一定的融合规则将这两个边缘图像融合在一起,得到一幅完好的边缘图像.这种边缘检测方法结合了小波变换法和Canny法的优点,对用不同方法得到的两种边缘信息进行融合,从而有效地抑制了噪声,保留了连续、清晰的边缘.实验结果表明,这种结合方法要优于单独使用Canny法或小波变换法.

关键词: 图像处理, 边缘检测, 融合技术, 融合规则, Canny算子, 小波变换

Abstract: An edge detection approach combining Canny with wavelet transform is proposed. The source image is decomposed by wavelet and, on the different decomposition levels, the edges of low-frequency sub-images are detected using Canny operator, while the edges of high-frequency sub-images are detected using wavelet transform method. Then, the two edge images are fused into one complying with relevant rules to obtain an integrated and clear edge image. This edge detection method combines the advantages of both wavelet transform and Canny methods together to fuse the two edge information obtained by different methods, thus suppressing effectively the noises with the consecutive and clear edges kept up. Experimental results showed that the approach is superior to either Canny method or wavelet transform method used alone.

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