摘要
对区间双正交小波所具有的多尺度边缘提取能力进行了理论分析,用消失矩N= N=3的[0,1]区间上的双正交滤波器对图像进行了小波变换,提出了沿幅角方向确定局部极大值的小波边缘检测算法.仿真结果表明,区间双正交小波比Daubechies正交小波和双正交小波更适宜图像的边缘检测.
The ability of the interval biorthogonal wavelet to detect the multi-scale edge is theoretically analyzed. The wavelet transform of the image is performed by the biorthogonal wavelet with the vanishing moments N=N˜=3 in the interval [0,1]. Then a multi-scale edge detection algorithm of the wavelet is proposed to obtain the local maxima along the direction given by the angle image. Simulation results show that the biorthogonal wavelet in the interval is more suitable for the edge detection of images than both Daubechies' biorthogonal wavelet and orthogonal wavelet.
出处
《西安电子科技大学学报》
EI
CAS
CSCD
北大核心
2004年第4期630-633,共4页
Journal of Xidian University
基金
国家自然科学基金资助项目(10361003)
关键词
区间双正交小波
多尺度边缘检测
小波变换
Algorithms
Computer simulation
Computer vision
Image processing
Wavelet transforms
