计算机工程与应用2011，Vol.47Issue(21)：214-216,3.DOI:10.3778/j.issn.1002-8331.2011.21.056
改进的形态学和小波变换边缘检测算法研究
Research on improved morphology and wavelet transform algorithm for edge detection
姚宇峰 1夏开建 1钟珊 1常晋义1
作者信息
- 1. 常熟理工学院计算机科学与工程学院,江苏常熟215500
- 折叠
摘要
Abstract
An improved edge detecting algorithm based on mathematical morphology and wavelet transform is proposed to overcome the limitation which embarrasses the performance of the traditional mathematical morphological methods.In the low-frequency image,the coefficients that have maximal absolute values are selected and the consistency of these coefficients is verified, while the high-frequency sub-image edges are detected by multi-scales and two-structuring elements mathematical morphology.Finally it can get a complete edge of the image.Experimental results show that compared with the traditional wavelet transform edge detecting method and math morphology method,this method can adaptively extract accurate edge information,and better decrease the noise.关键词
小波变换/数学形态学/边缘检测/多结构元素/噪声Key words
wavelet transform/math morphology/edge detection/multi-structuring elements/noise分类
信息技术与安全科学引用本文复制引用
姚宇峰,夏开建,钟珊,常晋义..改进的形态学和小波变换边缘检测算法研究[J].计算机工程与应用,2011,47(21):214-216,3.
