东北大学学报（自然科学版）

东北大学学报(自然科学版) ›› 2007, Vol. 28 ›› Issue (4): 473-476.DOI: -

• 论著 • 上一篇    下一篇

一种基于小波提升变换的多尺度边缘提取算法

葛雯;高立群;石振刚;   

  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 辽宁沈阳110004;辽宁沈阳110004;辽宁沈阳110004
  • 收稿日期:2013-06-24 修回日期:2013-06-24 出版日期:2007-04-15 发布日期:2013-06-24
  • 通讯作者: Ge, W.
  • 作者简介:-
  • 基金资助:
    公安部重点项目(20029322301)

Algorithm based on wavelet lifting transform for extraction of multi-scale edge

Ge, Wen (1); Gao, Li-Qun (1); Shi, Zhen-Gang (1)   

  1. (1) School of Information Science and Engineering, Northeastern University, Shenyang 110004, China
  • Received:2013-06-24 Revised:2013-06-24 Online:2007-04-15 Published:2013-06-24
  • Contact: Ge, W.
  • About author:-
  • Supported by:
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摘要： 提出了一种基于小波提升变换的改进图像边缘的检测算法.本算法首先对源图像进行小波提升分解,然后分别对高、低频子图像进行边缘提取.对于低频信息使用Canny算子进行边缘检测,而高频信息先用相邻尺度小波系数相乘的方法去除噪声,消噪后再对高频分量进行边缘检测.最后通过一定的融合规则进行融合,得到最终的边缘图像.实验结果表明,该方法具有运算速度快,能有效地抑制噪声,边缘检测精度高等特点,是一种有效的图像边缘提取算法.

关键词: 小波提升变换, Canny算子, 多尺度边缘提取, 图像融合, 小波变换

Abstract: An algorithm based on wavelet lifting transform is proposed for improving multi-scale edge detection. It should be carried out the way the source image is decomposed by wavelet lifting transform so as to extract the edges of high-frequency and low-frequency sub-images separately. Then, the Canny operator is used for low-frequency information during edge detection, while the high-frequency component is detected after noise removal through multiplying the wavelet coefficients on adjacent scales. The final edge images are obtained through a fusion in accordance to certain rules. Experimental results showed that the algorithm is effective to extract image edges and has advantages of quick operation, efficient suppression of noise and high detection accuracy.

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