摘要
利用小波多尺度特性提取图像边缘是目前研究热点之一;通过比较第一代和第二代小波算法特点,引入二代小波提升结构的概念,提出了一种基于二代小波提升结构的快速图像边缘检测算法;对三次B样条小波基实现提升格式,通过计算大尺度下分解子图的模值和幅角来确定边缘;经过实验比较,能比经典的边缘检测算法得出更精确的边缘图像,同时通过与基于第一代小波算法的边缘检测比较,基于二代小波提升格式的边缘检测算法计算更快速,更高效。
Multiscale wavelet analysis to image edge detection is a current research focus. Through the study of the difference between the first-generation wavelet and the second-generation wavelet, a fast algorithm of edge detection based on lifting schemes of the second -generation wavelet is proposed. Adopting the lifting scheme of cubic B-spline wavelet, then the multiscale wavelet analysis is processed. Compared with the classical edge detection algorithm, the simulation shows this method is more efficient and the speed is faster than the first-generation wavelet.
出处
《计算机测量与控制》
CSCD
2007年第7期866-869,共4页
Computer Measurement &Control
