一类新的知识型指纹图像非线性滤波方法
A Novel Knowledge Based Non-Linear Filtering Method for Fingerprint Images
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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.Abstract: 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.
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