摘要
边缘检测在计算机视觉中起着非常重要的作用 .但是现有的一些边缘检测方法对噪声非常敏感 .因此 ,如何得到更好的边缘检测方法受到了人们的重视 .近年来 ,作为一种新的工具 ,小波变换在信号处理中得到了广泛应用 .本文基于双Haar小波 ,提出了一种新的信号边缘检测算法 .与传统方法相比 ,有效地克服了脉冲噪声的影响 .
Edge detection is very useful in computer vision. However, the existing methods of edge detection are sensitive to the impulsive noise. Thus, how to obtain a better edge detection is important. As a new tool, the wavelet transform has been used in signal processing widely. In this paper, based on the double Haar wavelets, a new edge detector is developed. Comparing with the traditional methods, the proposed edge detector can suppress the impulsive noise effectively.
出处
《山东大学学报（工学版）》
CAS
2004年第2期35-37,共3页
Journal of Shandong University（Engineering Science）
关键词
小波变换
图像处理
边缘检测
wavelet transform
image processing
edge detection
