摘要
在图像测量中,图像的边缘检测是关键。基于信号和噪声在不同尺度下小波系数模值的变化特征,利用小波变换系数模的局部极大值提取图像的边缘。在对前、后孔配准图像的测量中,能够降低噪声,并能比较精确的得到图像的边缘。
In image measure, it＇ s a key for image edge extraction. Based on the variation feature of signal and yawp wavelet modulus value in different scales, image edge is extracted by using local maximum of wavelet variation modulus. In the act of measuring spheroid assemblage clearance, the algorithm reduce yawp and get accurate images edge.
出处
《现代机械》
2007年第4期30-31,共2页
Modern Machinery
关键词
图像测量
小波变换
多尺度
边缘检测
image measure
wavelet transform
muhi-scale analysis
edge detection
