计算机工程与应用2011，Vol.47Issue(34)：219-221,234,4.DOI:10.3778/j.issn.1002-8331.2011.34.061
一种基于Canny的自适应图像边缘提取方法
Self-adaptive image edge detection method based on Canny
摘要
Abstract
In order to fix the inconvenience that in traditional Canny operator, human intervention is required to select the Gaussian filter parameter and the high and low threshold, this paper proposes a self-adaptive edge detection method. Instead of applying Gaussian filter, this method uses self-adaptive thresholding algorithm, which is based on Nonsubsampled Contourlet Transform(NSCT) algorithm, to denoise an image and keep its edge information.Then the Otsu method sets high and low thresholds automatically, which are applied to edge detection and connection of the image generated by non-maximal suppres-sion.The theoretical and experimental results show that this method,compared with the traditional Canny operator,not only filters out image noises and keeps detail edges efficiently, but also improves its automation.关键词
非下采样Contourlet变换/最大类间方差/自适应方法/Canny算子Key words
Nonsubsampled Contourlet Transform(NSCT)/Otsu/self-adaptive method/Canny operator分类
信息技术与安全科学引用本文复制引用
黄剑玲,熊艰,邹腾博..一种基于Canny的自适应图像边缘提取方法[J].计算机工程与应用,2011,47(34):219-221,234,4.基金项目
江西省教育厅科学技术研究项目(No.GJJ 11608). （No.GJJ 11608）
