摘要
给出了基于小波变换的多尺度边缘表示方法及其对一般的图像信号表示的完备性和相应重建算法的稳定性，然后在小波变换的多尺度极大值表示方法的基础上，提出在尺度空间中基于多种知识的指纹图像非线性滤波方法．实验表明，这类滤波方法具有很强的自适应性，能取得令人满意的效果．
This paper first described the multiscale edge representation of images in the wavelet transform domain, and also discussed the representations completeness and the stability of the corresponding reconstruction algorithm. Then using the multiscale maxima representation based on the wavelet transform, we proposed for fingerprint images a non linear filtering method which was constrained by several kinds of knowledge in the scale space. The experimental results show that this filtering method has more adaptive performance and can obtain satisfactory results.
出处
《自动化学报》
EI
CSCD
北大核心
1997年第5期628-635,共8页
Acta Automatica Sinica
关键词
小波变换
图像处理
指纹图像
非线性滤波
Wavelet transform, multiscale edge representation, multiscale maxima representation, alternate projection algorithm, non linear filtering
