Experimental research on power spectrum processing in joint transform correlator image recognition

2007 ◽  
Author(s):  
Weimin Sun ◽  
Yang Yang
Keyword(s):  
Power Spectrum ◽  
Image Recognition ◽  
Experimental Research ◽  
Joint Transform Correlator

Evaluation of a suitable threshold for binarization of power spectrum in a noise-free joint transform correlator

1992 ◽  
Vol 90 (4-6) ◽  
pp. 221-226 ◽  
Author(s):  
Santiago Vallmitjana ◽  
Ignacio Juvells ◽  
Arturo Carnicer
Keyword(s):  
Power Spectrum ◽  
Joint Transform Correlator

Adaptive binary joint transform correlator for image recognition

2002 ◽  
Vol 41 (35) ◽  
pp. 7416 ◽  
Author(s):  
Feng Lei ◽  
Masahide Iton ◽  
Toyohiko Yatagai
Keyword(s):  
Image Recognition ◽  
Joint Transform Correlator

Improved Method of Target Detection on Optoelectronic Hybrid Joint Transform Correlator in Cluttered Scences

2011 ◽  
Vol 130-134 ◽  
pp. 4041-4044
Author(s):  
Yi Xian Qian ◽  
Li Bao Yang ◽  
Xiao Wei Cheng ◽  
Xue Ting Hong
Keyword(s):  
Fourier Transform ◽  
Power Spectrum ◽  
Inverse Fourier Transform ◽  
Zero Order ◽  
Reference Image ◽  
Improved Method ◽  
Joint Transform Correlator ◽  
Correlation Peak ◽  
Detection Ability ◽  
Large Correlation

A classical joint transform correlator (JTC) usually yields large correlation sidelobes as well as a large correlation peak width, strong zero-order peak, and low diffraction efficiency, which make the detection ability of JTC lower. To overcome these difficulties, firstly, a joint power spectrum (JPS) subtraction technique in Fourier plane was proposed, where reference image power spectrum and object image power spectrum are subtracted from the JPS before inverse Fourier-transform operation, it is obvious that the modified JPS removes the zero-order term. Secondly, a fringe-adjusted filter (FAF) was presented to suppress sidelobes and noises. The modified JPS is multiplied by a FAF before the inverse Fourier-transform operation to obtain the cross-correlation peak. Computer simulations demonstrated the improved method can obviously remove zero-order diffraction and effectively suppress the sidelobes and noises compared with classic JTC, and then improve the detection ability for JTC. Experimental results presented the sharp correlation peak and also confirmed the method effectiveness.

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