摘要
选取二维高斯函数的一阶偏导数构造小波函数,利用小波变换的多尺度特性,结合"非极大抑制"的方法,提取图像的多尺度边缘信息。对传统的小波变换算法进行了简化,显著降低了算法的复杂性和计算量。通过调整小波变换的尺度,既能够获取图像的细节边缘信息,又可以提取图像的粗轮廓边缘信息,仿真实验取得了比较理想的结果。
This paper selects one-dimension derivative of two-dimension Gauss function as wavelet function , detects image multi-scales edge information using the multi-scales character of wavelet and the method of ＂non-rlaaximum restraining＂, predigests the traditional wavelet transformation algorithm to reduce the complexity and computation , obtains both the edge infoamation in detail and the outline of image by adjusting the scale , makes an ideal result in experiment.
出处
《火力与指挥控制》
CSCD
北大核心
2007年第10期86-88,共3页
Fire Control & Command Control
关键词
小波变换
多尺度
非极大抑制
wavelet transformation, multi-scales, non-maximum restraining
