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An improved focusing algorithm based on image definition evaluation

机译:一种改进的基于图像定义评估的聚焦算法

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摘要

In order to overcome the limitations of traditional focusing function, the reasons why traditional approach lower the focusing precision are analyzed, and a theory based on curve fitting and probabilistic model is proposed. This algorithm can effectively improve the limitations that one focusing function is applicable to one type of image only, so that the classical image definition evaluation function are able to determine the focal position. We accomplished some experiments based on the images obtained from the CCD of the lab. Experimental results show that the proposed focusing algorithm based on definition evaluation function has an excellent focusing performance, good noise immunity and practical applications.
机译:为了克服传统聚焦功能的局限性,分析了传统方法降低了聚焦精度的原因,提出了一种基于曲线拟合和概率模型的理论。该算法可以有效地提高一个聚焦功能仅适用于一种类型图像的限制,从而可以确定古典图像定义评估功能能够确定焦点位置。我们基于从实验室的CCD获得的图像完成了一些实验。实验结果表明,基于定义评估功能的提出的聚焦算法具有出色的重点性能,噪音抗扰度良好和实际应用。

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