摘要
一种改进的基于小波变换模极大值的边缘检测方法包含如下2个步骤:(1)求出边缘及噪声点的局部极大值;(2)利用边缘点与噪声点具有不同小波变换模极大值的特点,对局部极大值进行二次判别,从而实现噪声与边缘的分离.实例验证结果表明,该方法能很好地解决高精度定位与强去噪能力之间的矛盾.
The improved method for image edge detection based on wavelet transform modulus maxima included following steps： wavelet transform was adopted to compute local modulus maximum of edge and noise; based on the differences between wavelet transforms of edge and noise, the separation of noise and edge was achieved by detecting local modulus maximum with quadratic discriminant method. Simulation results showed that the inconsistency between high precision localization and high denoise ability existing in traditional edge detection algorithm could be resolved by means of the algorithm.
出处
《福建农林大学学报（自然科学版）》
CSCD
北大核心
2009年第4期444-448,共5页
Journal of Fujian Agriculture and Forestry University:Natural Science Edition
基金
福建省自然科学基金资助项目(2008J0181)
关键词
小波变换
边缘检测
模极大值
wavelet transform
edge detection
modulus maximum
