Self-adaptive reconstruction algorithm for emission spectral volume tomography

Xiong Wan; Shenling Yu; Yiqing Gao; Quanshui Zhu

doi:10.1117/1.1690282

1 May 2004 Self-adaptive reconstruction algorithm for emission spectral volume tomography

Xiong Wan, Shenling Yu, Yiqing Gao, Quanshui Zhu

Author Affiliations +

Optical Engineering, Vol. 43, Issue 5, (May 2004). https://doi.org/10.1117/1.1690282

Abstract

A novel self-adaptive volume reconstruction technique (SVRT) based on multiobjective optimization is proposed. Its reconstruction results for asymmetrical 3-D single-peak cosine emission coefficient fields are studied with the numerical simulation of a computer. The results show that this algorithm has faster convergences and higher reconstruction precision, and can reconstruct asymmetrical single-peak cosine emission coefficient fields perfectly with only two views. (The average error is 0.18% with no noise data.) In the experiment of argon-arc plasma diagnosis, the 3-D reconstructions of temperature and ionization coefficient fields are fulfilled with this algorithm combined with the spectrum relative-intensity method.

©(2004) Society of Photo-Optical Instrumentation Engineers (SPIE)

Citation Download Citation

Xiong Wan, Shenling Yu, Yiqing Gao, and Quanshui Zhu "Self-adaptive reconstruction algorithm for emission spectral volume tomography," Optical Engineering 43(5), (1 May 2004). https://doi.org/10.1117/1.1690282

Published: 1 May 2004

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