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用于自动对焦算法的不同聚焦函数的比较。

A comparison of different focus functions for use in autofocus algorithms.

作者信息

Groen F C, Young I T, Ligthart G

出版信息

Cytometry. 1985 Mar;6(2):81-91. doi: 10.1002/cyto.990060202.

DOI:10.1002/cyto.990060202
PMID:3979220
Abstract

A number of functions for the autofocusing of microscopes and other optical instruments are to be found in the literature. In this article we compare 11 of them to determine, in an objective manner, which functions are most suitable for implementation with real-time video acquisition systems. Three different images, each representing a typical class of image, are used in the comparison. Among the best focus functions found in our study are the squared magnitude gradient, the squared Laplacian, and the normalized image standard deviation.

摘要

文献中可以找到许多用于显微镜和其他光学仪器自动聚焦的功能。在本文中,我们比较了其中11种功能,以便客观地确定哪些功能最适合通过实时视频采集系统来实现。比较中使用了三幅不同的图像,每幅图像代表一类典型图像。在我们的研究中发现的最佳聚焦功能包括平方幅值梯度、平方拉普拉斯算子和归一化图像标准差。

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