A COMPARISON OF DIFFERENT FOCUS FUNCTIONS FOR USE IN AUTOFOCUS ALGORITHMS
A COMPARISON OF DIFFERENT FOCUS FUNCTIONS FOR USE IN AUTOFOCUS ALGORITHMS
复制标题
DOI：
10.1002/cyto.990060202
复制
发表时间：
1985-01-01
期刊：
影响因子：
--
通讯作者：
LIGTHART, G
中科院分区：
文献类型：
--
作者：
GROEN, FCA;YOUNG, IT;LIGTHART, G
显微镜和其他光学仪器的自动聚焦的许多功能可以在文献中找到。在这篇文章中，我们比较了其中的11个，以客观的方式确定哪些功能最适合在真实的实时视频采集系统中实现。三个不同的图像，每一个代表一个典型的图像类，在比较中使用。在我们的研究中发现的最佳聚焦函数是平方幅度梯度，平方拉普拉斯算子和归一化图像标准差。
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.