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An improved focusing algorithm based on image definition evaluation

机译:一种基于图像清晰度评估的改进聚焦算法

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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。该算法可以有效地改善一种聚焦功能仅适用于一种类型的图像的局限性,从而使经典的图像清晰度评估功能能够确定焦点位置。我们基于从实验室CCD获得的图像完成了一些实验。实验结果表明,所提出的基于清晰度评价函数的聚焦算法具有良好的聚焦性能,良好的抗噪能力和实际应用价值。

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