摘要
介绍了小波变换的基本理论以及小渡分析方法用于图像边缘检测的基本原理及利用小波变换进行边缘检测的方法。接着重点研究了基于B样条小波的多尺度边缘检测，并且利用这种方法在几个不同尺度下分别提取了图像边缘。可以看出该方法不仅能准确检测出图像边缘，而且能有效地抑制噪声，优于其他已有的边缘检测方法。
The basic theory of wavelet transforms and Convenience and the availability of wavelet and focus on the methods of edge detection in wavelet transform are introduced.Then focus on the muhi-scale edge detection based on B-spline wavelet and the obtained multiscale wavelet transform was combined with adaptive thresholds to extract image edge at different scales. Results show that this method is superior to the traditional edge detection methods with both precise image edge detection and effectivenoise restraining.
作者
李翔
高尚兵
马岱
陈昊
LI Xiang, GAO Shang-bing, MA Dai, CHEN Hao （1.Dean＇s Office, Huaiyin Institute of Techlonogy, Huaiyin 223001, China; 2. Department of Computer Engineering,Huaiyin Institute of Techlonogy,Huaiyin 223001, China; 3.Personnel Authority, Huai＇an 223001, China）
出处
《电脑知识与技术》
2008年第11期940-941,共2页
Computer Knowledge and Technology
关键词
小波变换
边缘检测
多尺度分析
B样条小波
wavelet transform
edge detection
multiscale analysis
B-spline wavelet
