title: [An autofocus algorithm based on principal component analysis].
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.
authors.affiliation: Key Lab of Biomedical Engineering of Ministry of Education, Zhejiang University, Hangzhou 310027.
authors.forename: Zan-Chao
authors.initials: ZC
authors.lastname: Zhang
authors.forename: Shun-Ren
authors.initials: SR
authors.lastname: Xia
mesh_terms: D000465:Algorithms; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D008853:Microscopy / Q000295:instrumentation* / Q000379:methods; D025341:Principal Component Analysis