Paper
2 September 2003 Research on image autofocus system based on neural network
Guojin Chen, Bin Liu, Ye Gong, Guohua Xu, Huli Shi
Author Affiliations +
Proceedings Volume 5253, Fifth International Symposium on Instrumentation and Control Technology; (2003) https://doi.org/10.1117/12.521703
Event: Fifth International Symposium on Instrumentation and Control Technology, 2003, Beijing, China
Abstract
AF (auto-focus) becomes a very important function in many kinds of photoelectricity imaging systems. The popular AF is realized by means of measuring distance. In this paper, a new AF means is presented, which is realized by a neural network. Because the NN (neural network) has the capacity of non-linear processing, it can be used to estimate image's definition and adjust PID controller's parameters. When such a NN is embedded in an AF system, the system will have the features of real time, high veracity and self-adaptation.
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Guojin Chen, Bin Liu, Ye Gong, Guohua Xu, and Huli Shi "Research on image autofocus system based on neural network", Proc. SPIE 5253, Fifth International Symposium on Instrumentation and Control Technology, (2 September 2003); https://doi.org/10.1117/12.521703
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Atrial fibrillation

Digital signal processing

Control systems

Image processing

Neural networks

Signal processing

Digital image processing

Back to Top