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Proceedings Paper

Research on image autofocus system based on neural network
Author(s): Guojin Chen; Bin Liu; Ye Gong; Guohua Xu; Huli Shi
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Paper 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.

Paper Details

Date Published: 2 September 2003
PDF: 5 pages
Proc. SPIE 5253, Fifth International Symposium on Instrumentation and Control Technology, (2 September 2003); doi: 10.1117/12.521703
Show Author Affiliations
Guojin Chen, Xidian Univ. (China)
Hangzhou Institute of Electronic Engineering (China)
Bin Liu, Zhejiang Univ. (China)
Ye Gong, Sunny Group Co., Ltd. (China)
Guohua Xu, Xidian Univ. (China)
Huli Shi, Hangzhou Institute of Electronic Engineering (China)

Published in SPIE Proceedings Vol. 5253:
Fifth International Symposium on Instrumentation and Control Technology
Guangjun Zhang; Huijie Zhao; Zhongyu Wang, Editor(s)

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