摘要
传统的边缘检测的经典算法,如Sobel、Prewitte、Paplacian、Roberts等,检测速度快,但结构信息不完整。为了有效抑制噪声,本文基于小波变换,提出了一种新的图像边缘增强的算法。与通常所用的Roberts算子相比较,具有更好的边缘检测特性。实验表明所提出的方法是可行的。
Classical edge dection algorithms, such as Sobel,Prewitte, Laplacian, Roberts, etc, are fast to detect edge, but can not acquire intact structure information. This paper represents a novel algorithm of image edge detection based on wavelet transformation for effectively attenuating noise. It manifests more effective characteristics for edge detection in comparison with the usually applied Robert operator. The mechanism we proposed is applicable through experiment.
出处
《信息技术与信息化》
2006年第3期126-127,共2页
Information Technology and Informatization
