An autofocus algorithm based on principal component analysis.
- Author:
Zan-Chao ZHANG
1
;
Shun-Ren XIA
Author Information
1. Key Lab of Biomedical Engineering of Ministry of Education, Zhejiang University, Hangzhou 310027.
- Publication Type:Journal Article
- MeSH:
Algorithms;
Image Processing, Computer-Assisted;
methods;
Microscopy;
instrumentation;
methods;
Principal Component Analysis
- From:
Chinese Journal of Medical Instrumentation
2008;32(6):391-397
- CountryChina
- Language:Chinese
-
Abstract:
After extracting definition measurements by different focus functions from the images, a novel autofocus 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.
