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Enhancement of real-time optical pattern recognition via Ce:KNSBN crystal

机译：通过CE提高实时光学模式识别：KNSBN晶体

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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，我们介绍了一种相干图像处理器，其使用CE：KNSBN光折叠晶体的环状非线性衍射性能，实现实时边缘增强的光学相关和光学模式识别。自动相关峰的全宽半最大（FWHM）通过边缘增强操作减少了四次。自动相关峰值与互相关峰之间的强度比接近两倍。同样，显然抑制了自动相关峰值和背景“杂波”噪声的叶片。因此，该系统的歧视实现了巨大的改善。

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