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Flame slice algebraic reconstruction technique reconstruction algorithm based on radial total variation

机译:基于径向总变化量的火焰切片代数重构技术重构算法

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摘要

The engine flame is an important representation of the combustion process in the cylinder, and the three-dimensional (3-D) shape reconstruction of the flame can provide more information for the quantitative analysis of the flame, so as to contribute to further research on the mechanism of the combustion flame. One important method of 3-D shape reconstruction is to reconstruct the two-dimensional (2-D) projection image of the flame, so the optimization problem of the flame 2-D slice reconstruction algorithm is studied in this paper. According to the gradient sparsity characteristics in the total variation (TV) domain and radial diffusion characteristics of the engine combustion flame, a flame 2-D slice algebraic reconstruction technique (ART) reconstruction algorithm based on radial TV (ART-R-TV) is proposed. Numerical simulation results show that the new proposed ART-R-TV algorithm can reconstruct flame slice images more stably and have a better robustness than the two traditional ART algorithms especially in a limited-angle situation. (C) 2016 SPIE and IS&T
机译:发动机火焰是气缸内燃烧过程的重要代表,火焰的三维(3-D)形状重构可为火焰的定量分析提供更多信息,从而有助于进一步研究燃烧火焰的机理。 3-D形状重建的一种重要方法是重建火焰的二维(2-D)投影图像,因此本文研究了火焰二维切片重建算法的优化问题。根据总变化(TV)域中的梯度稀疏特性和发动机燃烧火焰的径向扩散特性,基于径向TV(ART-R-TV)的火焰二维切片代数重建技术(ART)重建算法为建议。数值仿真结果表明,新提出的ART-R-TV算法比两种传统的ART算法能更稳定地重建火焰切片图像,并具有更好的鲁棒性,特别是在有限角度情况下。 (C)2016 SPIE和IS&T

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