大鱼际掌纹图像滤波方法  

Filtering method for thenar palmprint image

作　　者：郑云云[1] 董国华[1] 朱习军[1] 

机构地区：[1]青岛科技大学信息与科学技术学院,山东青岛266061

出　　处：《太赫兹科学与电子信息学报》2014年第6期879-883,共5页Journal of Terahertz Science and Electronic Information Technology

基　　金：山东省自然科学基金资助项目(2013ZRB019B3);青岛市科技计划基金资助项目(11-2-4-3-(6)-jch)

摘　　要：大鱼际掌纹图像在采集的过程中会引入噪声。要求寻找一种既能很好地去噪,又能增强纹线信息的滤波方法。文中给出了脉冲耦合神经网络(PCNN)滤波和中介滤波的算法原理和具体实现方法,并根据其原理分析,指出2种滤波方法可满足以上要求。从仿真实验结果看到:中介滤波方法处理的图像比其他方法更为清晰,并且能更好地保护图像细节;另外,峰值信噪比客观的度量数据也证明了2种方法的有效性。The noise will be introduced to the thenar palmprint image acquisition process. A methodwhich not only bears good denoising effect,but also can enhance the ridge information is required. Theprinciples and specific implementation methods of Pulse Coupled Neural Network（PCNN） filtering andintermediary filtering are put forward. According to the principle analysis for these two filtering algorithms,it is pointed out that these two filtering methods can meet above requirements. Simulation results showthat intermediary filtering can process images more clearly and protect image details better than othermethods; furthermore,the Peak Signal to Noise Ratio（PSNR） metric data also proves the effectiveness ofthese two methods.

关 键 词：大鱼际掌纹 脉冲耦合神经网络滤波 中介系统 中介滤波 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]