An autofocus algorithm based on principal component analysis / 中国医疗器械杂志
Chinese Journal of Medical Instrumentation
;
(6): 391-397, 2008.
Article
in Chinese
| WPRIM
| ID: wpr-309569
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.
Full text:
Available
Index:
WPRIM (Western Pacific)
Main subject:
Algorithms
/
Image Processing, Computer-Assisted
/
Principal Component Analysis
/
Methods
/
Microscopy
Type of study:
Prognostic study
Language:
Chinese
Journal:
Chinese Journal of Medical Instrumentation
Year:
2008
Type:
Article
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