Practical Computer-Aided Lens Design
Practical Computer-Aided Lens Design
IEEE Transactions on Pattern Analysis and Machine Intelligence
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
Risk-based access control systems built on fuzzy inferences
ASIACCS '10 Proceedings of the 5th ACM Symposium on Information, Computer and Communications Security
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This research is intended to establish faster and more accurate automatic focusing control for the complementary metal-oxide semiconductor's (CMOS) image sensing module. Because it would be difficult to formulate the dynamic mathematic model for the automatic focusing system, this innovative research will use the intelligent control method to manipulate the auto-focus system so as to control the motor rotating angle to move the lens position for achieving the auto-focus purpose of the CMOS image sensing module. In this respect, the modulation transfer function (MTF) is used as a key indicator to describe the developing quality of the image system. By using the image sensing module, this research will retrieve the MTF for examining graphic image and the change of MTF is used as the input parameters of the fuzzy controller. After the fuzzy rule base and the membership function are established, by the process of fuzzy inference, actual rotating angle of the motor will be obtained by defuzzifying the fuzzy output so as to achieve the auto-focus purpose for the CMOS image sensing module. The performance of an improved membership function for this fuzzy controller can be effectively shown through the experiment.