摘要
小波作为图像处理的一个重要工具,以其具有的多尺度特性而在图像边缘检测领域受到了广泛的应用。该文在小波模极大值边缘提取算法的基础上,提出了一种采用模式识别中的聚类技术进行自动确定消噪阈值的边缘检测方法,且利用B样条小波和改进的K-means聚类算法对图像进行了实际的检测,实验结果证明该方法是正确和有效的。
Wavelet is a powerful tool in image processing and has a wide application to edge detection for its multi-resolution property. Based on wavelet modulus maximum edge detection algorithm, an improved method is proposed, which gives an automatic determination function of denoising threshold by using the clustering technique. Some experiments were made using B-spline wavelet and improved K-means clustering algorithm. The experimental results show that this method is correct and effective.
出处
《计算机仿真》
CSCD
2004年第8期155-157,共3页
Computer Simulation
关键词
小波变换
边缘检测
动态聚类
Wavelet transform
Edge detection
Dynamic clustering
