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山东大学 信息科学与工程学院 光学系,山东 济南 250100
收稿日期:2005-03-22,
修回日期:2005-04-18,
网络出版日期:2005-06-30,
纸质出版日期:2005-06-30
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王玉荣, 徐 鹏, 王青圃, 等. 光电混合联合变换相关器中各元 器件结构参数之间的关系[J]. 光学精密工程, 2005,13(3):376-384.
WANG Yu-rong, XU Peng, WANG Qing-pu, et al. Relationship between parameters in hybrid optical/electronic joint transform correlator[J]. Optics and precision engineering, 2005, 13(3): 376-384.
分析了空间光调制器(SLM)和面阵CCD的像元结构对输入图像和功率谱的抽样
以及抽样对光电混合联合变换相关器(JTC)性能的影响;推导出了光电混合JTC中
SLM、面阵CCD、傅里叶变换透镜、输入图像等各结构参数之间应满足的关系。根据推导出的关系公式
结合实验所用透镜、SLM、CCD的各项参数
选择不同的图像间距
对联合变换相关识别过程进行了模拟验证。输入大小都为32×32像素的参考图像和目标图像
当两者间距大于64像素且小于374像素时
可以得到理想的识别效果;间距小于64像素时
同级输出光场的自相关和互相关信号不能完全分离;间距大于374象素时
相邻两级互相关信号交叠错位;当间距大到超过405像素时
无法进行相关识别。模拟结果与理论推导一致。这些关系对JTC的设计及应用有重要意义。
Based on the grid pixel structure of spatial light modulator(SLM) and CCD used in a hybrid optical/electronic joint transform correlator(JTC)
the relationship among the structure parameters of SLM
CCD
Fourier transform lens and input images are presented. According to the relations
the JTC recognition processes are simulated with different distance between the object and the reference image which are equal in size:32×32 pixels.When the distance of the two input images is 64 pixels to 374 pixels
a perfect recognition result can be obtained. When the distance is less than 64 pixels
self-correlation peak and cross-correlation peak in the same order output signals can not be separated completely. The distance of more than 374 pixels results in the overlap of adjacent of correlation signals
and when the distance is more than 405 pixels
the JTC can not recognize the two input images.These simulation results have proved the theoretical analysis. The relationship is important to the configuration and application of JTC.
. WEAVER C S,GOODMAN J W. A technique for optically convolving two functions[J]. Appl.Opt., 1966, 5(2): 1248-1249.
. WANG Y R,CAI L ZH,WANG H,et al. Moving target recognition and tracking with photorefractive joint transform correlator[J]. SPIE,1996, 2896: 189-197.
. ZHANG SH Q, KARIM A. Cellular neural network implementation using a phase-only joint transform correlator[J].Opt.Commun., 1999, 162(1): 31-36.
. NOMURA T,JAVIDI B. Optical encryption using a joint transform correlator architecture[J]. Opt.Eng., 2000, 39(8) :2031-2035.
. ABOOKASIS D,ARAZI O,ROSEN J,et al. Security optical systems based on a joint transform correlator with significant output images[J]. Opt.Eng., 2001, 48(8): 1584-1589.
. 文大化. SAR光学处理器输出图像的实时处理装置[J]. 光学 精密工程, 1997,5(2):19-25. WEN D H. Real-time processing system of SAR optical processor's image[J]. Optics and Precision Engineering, 1997,5(2):19-25.(in Chinese)
. FENG L, MASHHIDE I,TOYOHIKO Y. Adaptive binary joint transform correlator for image recognition[J]. Appl.Opt., 2002, 41(35): 7416-7420.
. FIELDING K H,HORNER J L. 1-f joint transform correlator[J]. Opt.Eng.,1990, 29(9): 1081-1087.
. JAVIDI B,HORNER J L. Single SLM joint transform correlator[J].Appl.Opt., 1989, 28(5): 1027-1032.
. GIANINO P D,WOODS C L. Effects of spatial light modulator opaque dead zones on optical correlation[J]. Appl.Opt.,1992, 31(20): 4025-4032.
. GIANINO P D,WOODS C L. General treatment of spatial light modulator dead-zone effects on optical correlation.II.Mathematical analysis[J]. Appl.Opt.,1993, 32(32): 6536-6541.
. DAVIS J A,BUNCH R M. Effect of sampling and binarization in the output of the joint Fourier transform correlator[J]. Opt.Eng.,1990, 29(9): 1095-1100.
. 王玉荣, 李骏, 胡家升. 联合变换相关器中参数之间的协调关系[J]. 光学 精密工程.1995,3(1):40-44. WANG Y R,LI J,HU J SH. Relationship of parameters in joint transform correlator[J]. Optics and Precision Engineering, 1995,3(1):40-44.(in Chinese)
. 苏显渝, 李继陶. 信息光学[M]. 北京: 科学出版社, 1999. SU X Y,LI J T. Information optics[M].Beijing:Science Press,1999.(in Chinese).
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