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联合变换图像识别中功率谱高斯掩膜处理方法
引用本文:孙伟民,杨洋.联合变换图像识别中功率谱高斯掩膜处理方法[J].光电工程,2007,34(10):69-72,113.
作者姓名:孙伟民  杨洋
作者单位:哈尔滨工程大学,理学院,黑龙江,哈尔滨,150001
基金项目:黑龙江省自然科学基金 , 哈尔滨工程大学校科研和教改项目
摘    要:本文提出了一种基于在光学频谱面上进行光学高斯高通滤波的实时处理方法.此方法将一个高斯掩膜覆盖在位于光学频谱面上的CCD中心位置,从而明显降低了相关图像中自相关峰的高度和宽度.通过比较不同的参数效果,确定了一种用于实验的高斯函数滤波器.通过系列实验研究发现,本方法可以明显提高联合变换相关器的效果和速度.

关 键 词:联合变换相关器  功率谱  相关峰  高斯掩膜  图像识别
文章编号:1003-501X(2007)10-0069-04
收稿时间:2006/11/3
修稿时间:2006-11-032007-04-22

Power spectrum Gaussian mask processing in joint transform correlator image recognition
SUN Wei-min,YANG Yang.Power spectrum Gaussian mask processing in joint transform correlator image recognition[J].Opto-Electronic Engineering,2007,34(10):69-72,113.
Authors:SUN Wei-min  YANG Yang
Affiliation:College of Science, Harbin Engineering University, Harbin 150001, China
Abstract:A new optical real-time processing method was proposed to weaken the zeroth-order diffractive spot in the power spectrum using a Gaussian high-pass filter. A Gaussian mask was put on the central position of the CCD locating in the spectral plane. The height and the width of the auto-correlative peaks in the correlative plane were decreased dramatically. After comparing different sets of the parameters of the Gaussian filter, a high-pass filter function was chosen and used in experiments. A series of experiments were done based on a joint transform correlative system. The experimental results prove that the Gaussian mask processing method can improve the speed and effect of the joint transform correlator
Keywords:Joint transform correlator (JTC)  power spectrum  correlative peak  gaussian mask  image recognition
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