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机构地区:[1]电子工程学院安徽省红外与低温等离子体重点实验室,安徽合肥230037
出 处:《中国激光》2009年第6期1397-1402,共6页Chinese Journal of Lasers
基 金:安徽省红外与低温等离子体重点实验室基金(20007A010010X)资助项目
摘 要:提出一种基于振幅调制纯相位滤波器(AMPOF)和片状正交非线性广义(SONG)相关的畸变不变光学相关目标识别算法。利用振幅调制纯相位滤波器区分能力强的优点,结合综合鉴别函数(SDF)方法,提出基于振幅调制纯相位滤波器的畸变不变识别算法,达到明显优于传统综合鉴别函数方法相关输出效果的目的。在此基础上引入SONG相关技术,利用其突出的区分能力和抗噪性能,结合这两种非线性滤波技术,得到能够很好地兼顾多项性能指标的畸变不变识别算法。仿真实验结果表明,算法既提高了相关峰输出质量和多目标区分能力,又具有很强的抵御噪声能力,在输入图像被噪声严重破坏的情况下,识别度仍然能够达到97%以上。和其他结合SONG相关的畸变不变识别算法相比,该算法目标识别性能更为优良,且更实用、广义。A new algorithm for distortion invariant optical correlation pattern recognition based on amplitudemodulated phase-only filtering and sliced orthogonal nonlinear generalized (SONG) correlation is proposed. An algorithm for distortion invariant pattern recognition is proposed by utilizing amplitude-modulated phase-only filtering with good discrimination and synthetic discriminant function, and the result of correlation output under the algorithm is much better than that of conventional synthetic discriminant function. The technique of SONG correlation with excellent discrimination and performance of resisting noise is introduced, and the new algorithm with several excellent capabilities for distortion invariant pattern recognition and combining these two techniques of nonlinear filtering is obtained. The results of simulation indicate that the new algorithm not only enhances the quality of correlation peak and multiple target discrimination, but also has a good performance of resisting noise. The discrimination capacity of more than 97 % can be obtained under new algorithm even the input image is destroyed by noise badly. Compared with other algorithm for distortion invariant pattern recognition combined with SONG correlation, the new algorithm is more practical and generalized with better discrimination.
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