COMPARISON OF AUTOFOCUS METHODS FOR AUTOMATED MICROSCOPY
COMPARISON OF AUTOFOCUS METHODS FOR AUTOMATED MICROSCOPY
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DOI：
10.1002/cyto.990120302
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发表时间：
1991-01-01
期刊：
影响因子：
--
通讯作者：
PRESTON, K
中科院分区：
文献类型：
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作者：
FIRESTONE, L;COOK, K;PRESTON, K
传统的自动对焦方法是为单处理器计算机驱动的显微镜设计的。随着计算机在获取和分析图像时能够利用大规模并行性的发展，并行细胞逻辑技术可用于自动对焦。本文向读者介绍了用于自动对焦的细胞逻辑技术以及一种新的频谱矩自动对焦测量方法。然后将这些方法与更传统的自动对焦方法进行了比较。结果表明，基于图像功率测量的传统方法在一组真实图像和两组合成图像上进行测试时效果最佳。其次是细胞逻辑和频谱矩技术，而最差的是基于图像概率密度函数或直方图的方法。
Traditional autofocus methods were designed for microscopes driven by single processor computers. As computers are developed that exploit massive parallelism when acquiring and analyzing images, parallel cellular logic techniques became available to focus automatically. This paper introduces the reader to both cellular logic techniques for autofocus and a new spectral moment autofocus measure. It then compares these methods with more traditional autofocus methods. It is shown that traditional methods based on measurements of image power-give the best results when tested on one set of real images and two sets of synthetic images. The next best methods are the cellular logic and spectral moment techniques, while the worst are those based on the image probability density function or histogram.