文件名称:fenshujie
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，对掌纹图像去噪主要采用低通滤波方法或邻域平均滤波方法，这两种方法可以有效地抑制噪声，但同时也滤除了一些边缘信息，而且还会发生一定程度的边缘模糊现象。因此这两种方法适合于提取掌纹中的主线（掌纹中最粗最长的若干条）特征，而不适合于需要保留更多边缘信息的特征提取。小波变换是目前比较流行的一种信号处理方法。-Palmprint image denoising using low-pass filtering method or the neighborhood average filter method, these two methods can effectively suppress noise, but also filter out some of the edge information, but also some degree of edge blurring. Therefore, these two methods suitable characteristics in the extract palmprint mainline (palmprint certain sections of the thickest and longest), but not for the need to retain more edge information feature extraction. The wavelet transform is a signal processing method is more popular.
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下载文件列表
分数阶傅立叶变换实验\DiscreteTFDs\Changes
....................\............\..irplets\angle2cr.m
....................\............\.........\best_chirplet.m
....................\............\.........\cr2angle.m
....................\............\.........\crlb.m
....................\............\.........\est_c.m
....................\............\.........\est_cd_global.m
....................\............\.........\est_d.m
....................\............\.........\est_tf.m
....................\............\.........\find_chirplets.m
....................\............\.........\fisher.m
....................\............\.........\f_chirp.m
....................\............\.........\g_chirp.m
....................\............\.........\hessian.m
....................\............\.........\KandQ.m
....................\............\Contents.m
....................\............\Copyright
....................\............\Demos\demo_chirplets.m
....................\............\.....\demo_cohen.m
....................\............\.....\demo_localized.m
....................\............\.....\demo_ltvf.m
....................\............\.....\demo_tcd.m
....................\............\.....\demo_wigner4.m
....................\............\DTFDPath.m
....................\............\GNU_GPL
....................\............\Makefile
....................\............\Quartic\laf.m
....................\............\.......\localized.m
....................\............\.......\lwigner.m
....................\............\.......\tcd.m
....................\............\README
....................\............\Symplectic\chirp2rot.m
....................\............\..........\fracft.m
....................\............\..........\freq_shear.m
....................\............\..........\scale.m
....................\............\..........\time_shear.m
....................\............\ToDo
....................\............\.ypeI\choi_williams1.m
....................\............\.....\lacf1.m
....................\............\.....\margenau_hill1.m
....................\............\.....\rihaczek1.m
....................\............\.....\smooth1.m
....................\............\.....\spec1.m
....................\............\.....\stft1.m
....................\............\.....\wigner1.m
....................\............\.....I\binomial2.m
....................\............\......\born_jordan2.m
....................\............\......\lacf2.m
....................\............\......\levin2.m
....................\............\......\margenau_hill2.m
....................\............\......\page2.m
....................\............\......\qwigner2.m
....................\............\......\rihaczek2.m
....................\............\......\spec2.m
....................\............\......\stft2.m
....................\............\.....V\binomial4.m
....................\............\......\margenau_hill4.m
....................\............\......\qwigner4.m
....................\............\......\richman.m
....................\............\......\rihaczek4.m
....................\............\......\spec4.m
....................\............\......\stft4.m
....................\............\......\wigner4.m
....................\............\Utils\acf.m
....................\............\.....\add_noise.m
....................\............\.....\cconv.m
....................\............\.....\chirplets.m
....................\............\.....\circ.m
....................\............\.....\fmcubic.m
....................\............\.....\fmpoly.m
....................\............\.....\fmsin.m
....................\............\.....\hermite.m
....................\............\.....\lconv.m
....................\............\.....\ltv_filter.m
....................\............\.....\predictor.m
....................\............\.....\ptfd.m
....................\............\.....\ptfddb.m
....................\............\.....\ptfd_marg.m
....................\............\.....\sig_mom.m
....................\............\.....\s