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Proceedings Paper

Enhancement of real-time optical pattern recognition via Ce:KNSBN crystal
Author(s): Qinglin Guo; Baolai Liang; Guangsheng Fu; Zhaoqi Wang
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Paper Abstract

In this paper we present a coherent image processor, which uses the loop-like nonlinear diffraction property of the Ce:KNSBN photorefractive crystal to achieve real-time edge- enhanced optical correlation and optical pattern recognition. The full-width-at-half-maximum of the auto- correlation peak is decreased four times by the edge- enhancement operation. The intensity ratio between auto- correlation peak and the cross-correlation peak is improved nearly two times. As the same time the lobe of the auto- correlation peak and the background 'clutter' noise are obviously suppressed. Therefore the discrimination of this system achieves great improvement.

Paper Details

Date Published: 24 September 2001
PDF: 6 pages
Proc. SPIE 4554, Object Detection, Classification, and Tracking Technologies, (24 September 2001); doi: 10.1117/12.441663
Show Author Affiliations
Qinglin Guo, Hebei Univ. (China)
Baolai Liang, Hebei Univ. (China)
Guangsheng Fu, Hebei Univ. (China)
Zhaoqi Wang, Nankai Univ. (China)

Published in SPIE Proceedings Vol. 4554:
Object Detection, Classification, and Tracking Technologies
Jun Shen; Sharatchandra Pankanti; Runsheng Wang, Editor(s)

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