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首页> 外文会议>Conference on Object Detection, Classification, and Tracking Technologies Oct 22-24, 2001, Wuhan, China >Enhancement of real-time optical pattern recognition via Ce:KNSBN crystal
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Enhancement of real-time optical pattern recognition via Ce:KNSBN crystal

机译：通过Ce：KNSBN晶体增强实时光学图案识别

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摘要

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 (FWHM) 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.
机译：在本文中，我们提出了一种相干图像处理器，该处理器利用Ce：KNSBN光折变晶体的环状非线性衍射特性来实现实时的边缘增强光学相关性和光学图案识别。通过边缘增强操作，自相关峰的半峰全宽（FWHM）降低了四倍。自相关峰和互相关峰之间的强度比提高了近两倍。同时，自相关峰的波瓣和背景“杂波”噪声也被明显抑制。因此，该系统的辨别力得到了很大的改善。

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