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Proceedings Paper

Application of joint transform correlator in detection of infrared target
Author(s): Fanghan Chen; Chunjie Li; Dongyue Liu; Wensheng Wang
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Paper Abstract

Joint transform correlator is one of the most successful optical pattern recognizers which is composed of Ar+ laser, spatial filter, Fourier transform lenses, EALCD (electrically addressed liquid crystal displays) and CCD (Charge Coupled Device). It has many applications in industry and military. The bottle technologies are how to recognize the target in clutter scene and how to increase the brightness of the correlation peak which represents the detected target. In this paper, we researched joint transform correlator (JTC) for infrared target detection, and used wavelet transform technology to increase the contrast of input image which contains target and reference objects, reduced the high frequency noise and realized target detection in clutter scene. According to our requirement, we selected the two-order spline wavelet, and made input image have discrete binary wavelet transformed. Because edge always contains much information of image, we adopted the method of modular maximum to extract the edge of different scales after wavelet transform mentioned above. In addition, combined with threshold division which could eliminate some of the clutter, we could get the remarkable edge. As experiment result, we detected the infrared image, both with computer correlation matched method and optical JTC method. The experiments show that the wavelet transform technology is one of the best data processing methods for the target detection in clutter background.

Paper Details

Date Published: 4 January 2008
PDF: 8 pages
Proc. SPIE 6837, Information Optics and Photonics Technologies II, 68371F (4 January 2008); doi: 10.1117/12.757535
Show Author Affiliations
Fanghan Chen, Changchun Univ. of Science and Technology (China)
Chunjie Li, Changchun Univ. of Science and Technology (China)
Dongyue Liu, Changchun Univ. of Science and Technology (China)
Wensheng Wang, Changchun Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 6837:
Information Optics and Photonics Technologies II
Guoguang Mu; Feijun Song; Francis T. S. Yu; Suganda Jutamulia, Editor(s)

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