2002Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIERequires access

Optimal design of electrical capacitance sensor and image reconstruction for electrical capacitance tomography system

Guibin Zheng, Deyun Chen, Jinhua Shao, Yong Qin, Xiaoyang Yu

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Abstract

This paper describes a new method of the optimal design of electrical capacitance sensor, which is based on genetic algorithm, and a modified BP algorithm of image reconstruction for electrical capacitance tomography system. In the optimal design of sensor, the evenness of sensitivity distribution, the ratio of maximum capacitance to minimum capacitance and the ratio of full-pipe capacitance to empty-pipe capacitance are considered. In image reconstruction we use the curve of components ratio and threshold valve of pixel gray to improve the performance of BP algorithm. Better quality and accuracy is obtained in experiment.

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What this paper is about

This paper describes a new method of the optimal design of electrical capacitance sensor, which is based on genetic algorithm, and a modified BP algorithm of image reconstruction for electrical capacitance tomography system. In the optimal design of sensor, the evenness of sensitivity distribution, the ratio of maximum capacitance to minimum capacitance and the ratio of full-pipe capacitance to empty-pipe capacitance are considered. In image reconstruction we use the curve of components ratio and threshold valve of pixel gray to improve the performance of BP algorithm. Better quality and accuracy is obtained in experiment.

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Available abstract

This paper describes a new method of the optimal design of electrical capacitance sensor, which is based on genetic algorithm, and a modified BP algorithm of image reconstruction for electrical capacitance tomography system. In the optimal design of sensor, the evenness of sensitivity distribution, the ratio of maximum capacitance to minimum capacitance and the ratio of full-pipe capacitance to empty-pipe capacitance are considered. In image reconstruction we use the curve of components ratio and threshold valve of pixel gray to improve the performance of BP algorithm. Better quality and accuracy is obtained in experiment.

Key concepts: Electrical capacitance tomography, Capacitance, Sensitivity (control systems), Pixel, Iterative reconstruction, Tomography, Genetic algorithm, Parasitic capacitance

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