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基于二代小波提升算法的快速图像边缘检测
Fast Algorithm of Edge Detection Based on Lifting Schemes of the Second-generation Wavelet
【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。
【Abstract】 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.
【Key words】 second-generation wavelet; lifting scheme; edge detection; cubic B-spline;
- 【文献出处】 计算机测量与控制 ,Computer Measurement & Control , 编辑部邮箱 ,2007年07期
- 【分类号】TP391.41
- 【被引频次】18
- 【下载频次】282