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	Gaussian window function for image reconstruction for electrical capacitance tomography
	Jiang Peng ; Peng Lihui ; Xiao Deyun
	2010-05-06 ; 2010-05-06
关键词	Practical/ Gaussian processes image reconstruction measurement errors optical filters optical tomography permittivity/ Gaussian window function image reconstruction algorithm electrical capacitance tomography spectral filter measurement error instability sensitivity matrix singular values permittivity distribution/ A4230V Image processing and restoration A4280C Spectral and other filters A0250 Probability theory, stochastic processes, and statistics B6135 Optical, image and video signal processing B4190F Optical coatings and filters B0240Z Other topics in statistics
中文摘要	A reconstruction algorithm based on the Gaussian window function was developed to improve the quality of reconstructed images for electrical capacitance tomography. The system uses spectral filtering with the proper power of the spectral filter based on the Gaussian window function, measurement error instabilities and the small singular values of the sensitivity matrix. Simulations using five typical permittivity distributions provide reconstruction results that are better with some clearer contours than Tikhonov regularization. The numerical results verify the feasibility of the image reconstruction algorithm using the Gaussian window function for regularization.
语种	中文 ; 中文
出版者	Tsinghua Univ. Press ; China
内容类型	期刊论文
源URL	[http://hdl.handle.net/123456789/9036]
专题	清华大学
推荐引用方式 GB/T 7714	Jiang Peng,Peng Lihui,Xiao Deyun. Gaussian window function for image reconstruction for electrical capacitance tomography[J],2010, 2010.
APA	Jiang Peng,Peng Lihui,&Xiao Deyun.(2010).Gaussian window function for image reconstruction for electrical capacitance tomography..
MLA	Jiang Peng,et al."Gaussian window function for image reconstruction for electrical capacitance tomography".(2010).

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