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应用于热光鬼成像的自适应形态学滤波器 被引量:1

Adaptive morphology filter applied in thermal ghost imaging
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摘要 鬼成像是一种新的成像机制,但研究人员主要注重研究鬼成像的理论价值。传统的鬼成像从工程上讲质量通常较差,为了提高成像质量,提出一种新的自适应形态学滤波算法。该算法自动估计斑点的大小,作为形态学滤波中的结构体的大小。对该算法进行了仿真,实验结果表明,应用于热光鬼成像的形态学滤波器可以很好滤除噪声。并对几种典型的鬼成像处理方法进行对比,对比结果显示了该算法的有效性。 Ghost imaging is a kind of new imaging mechanism, but researcher mainly pay attention to theoretical value ot ghost imaging. Hence traditional ghost imaging quality is usually poor, from the engineering perspective in order to improve imaging quality, a novel adaptive morphology filter algorithm is proposed, which is applied in post processing of ghost imaging. Which automatically estimates the size of spots, as in the morphological structure of the filter size, erosion and dilation. The algorithm for simulation, the experimental results show that: thermal light ghost imaging applied to the morphological filter can filter out the noise very well. And several typical ghost image processing method are compared, which the results show the effectiveness of the algorithm.
出处 《计算机工程与设计》 CSCD 北大核心 2012年第11期4402-4406,共5页 Computer Engineering and Design
基金 上海市高校选拔培养优秀青年教师科研专项基金项目(sdj08005) 上海电机学院重点学科建设基金项目(10xkf01) 上海市教委科研创新基金项目(12AZ05)
关键词 鬼成像 自适应滤波器 噪声 形态学 热光关联成像 ghost imaging adaptive filter noise morphology thermal ghost imaging
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参考文献11

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