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基于光学小波分析的相关识别和计算机模拟
引用本文:张学明,江军,顾文文,陈海清. 基于光学小波分析的相关识别和计算机模拟[J]. 武汉理工大学学报, 2006, 28(4): 119-121
作者姓名:张学明  江军  顾文文  陈海清
作者单位:华中科技大学光电子科学与工程学院,武汉,430074
摘    要:将小波变换引入到光学联合变换相关识别中,采用基于联合变换相关的小波分析来实现模式识别.利用改进的墨西哥帽小波函数产生小波滤波器,并进行了光学小波联合变换相关识别。将这种滤波器放置在傅里叶反变换产生相关输出之前的联合功率谱面上,该技术可以应用在具有不同灰度图像的模式识别中。计算机模拟结果表明:其相关峰宽度、识别力和峰噪比都有较大改善。

关 键 词:小波分析  联合变换相关  光学模式识别
文章编号:1671-4431(2006)04-0119-03
修稿时间:2005-11-29

Correlation Recognition Based Optical Wavelet Analysis and Computer Simulation
ZHANG Xue-ming,JIANG Jun,GU Wen-wen,CHEN Hai-qing. Correlation Recognition Based Optical Wavelet Analysis and Computer Simulation[J]. Journal of Wuhan University of Technology, 2006, 28(4): 119-121
Authors:ZHANG Xue-ming  JIANG Jun  GU Wen-wen  CHEN Hai-qing
Abstract:Pattern correlation recognition based wavelet transform is proposed.Pattern recognition using wavelet analysis based joint transform correlation is introduced,wavelet filter is generated using the improved Mexican-hat wavelet function.The filter is put on the power spectrum before applying the inverse Fourier transform to yield the correlation output.This technique can be used in pattern recognition of grey level input image.Computer simulation results show that correlation width,discrimination and signal-to-noise ratio have been improved,and conform the effectiveness of this technique.
Keywords:wavelet analysis  joint transform correlator  optical pattern recognition
本文献已被 CNKI 维普 万方数据 等数据库收录!
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