摘要
本文讨论了小波变换在射线图像疵病特征提取中的应用 ,通过各尺度图对应不同频段的特性来识别信号中的趋势项 ,并且利用有效信号和噪声在小波变换下的不同规律进行信噪分离 ,最终达到特征提取的目的 .
The application of wavelet transform in feature extraction of the ogram flaw has been discussed. The trend term is distinguished from signal with the speciality of each scale corresponding to different frequency. The noise is separated from signal with the different rule of effective signal and noise. The purpose of feature extraction has been accomplished. The result of experiments proves that the mentioned method has better feature extraction effect.
出处
《测试技术学报》
2002年第4期270-272,共3页
Journal of Test and Measurement Technology
关键词
射线图像
疵病
小波变换
趋势项
降噪
特征提取
wavelet transform
multiresolution decompositions
trend term
noise reduction
