基于主分量分析的自动聚焦算法研究

An Autofocus Algorithm Based on Principal Component Analysis

本文通过对多组图像分别提取多个清晰度评价指标,提出了利用主分量分析进行多指标融合,得到最终清晰度评价的自动聚焦算法。随机采集的70组显微细胞图像实验评测结果表明,算法较好地增大了图像清晰度之间的差异,与单指标判断相比较,取得了更高的聚焦正确率。

After extracting definition measurements by different focus functions from the images,a novel autofoucs algorithm which combines them with principal component analysis(PCA) and considers the first principal component as the final measurement,is presented in this paper.The experiment results with 70 groups of images show that this algorithm increases the difference between the definition measurements of the images and provides higher focusing accuracy in comparison with other single ones.