提出了一种新的少数投影最大熵层析图像重建算法.通过数值模拟,考察了该算法对不同场分布函数的重建效果以及抗噪声性能.结果表明,该算法具有较高的重建精度和良好的抗噪声性能.
A new algorithm for the reconstruction of tomographic images from fewer views by a maximum entropy approach is presented. The numerical simulation studies the effect of reconstruction on the different field distribution functions and the stability against noise. The results show that this algorithm has fairly high accuracy and good stability against noise.
参考文献
[1] | 陈韶华,是度芳,王荣等.应用联合代数重建技术重建热气流三维温度场.量子电子学,1994,u(3):191~197 |
[2] | 是度芳,肖旭东,陈韶华等.正交双物光全息有限角层析技术重建燃烧器温度声.光学学报,1995,15(9):1240~1244 |
[3] | Chen Shaohua, Huang Suyi, Shi Dufang et al Orthographic double-beam holographic interferometry for limited-view optical tomography. Appl. Opt., 1995, 34(27): 6282~6286 |
[4] | Klaus Martin, Smith Robert T. A hilbert space approach to maximum entropy reconstruction.Mathematical Methods in the Applied Science, 1988, 10:397~406 |
[5] | Wernecke Stephen J, D'Addario Larry R. Maximum entropy image reconstruction. IEEE Transactions on Computers, 1977, 26(4): 351~364 |
[6] | Smith Robert T, Zoltani Csaba K, Klem George J et al. Reconstruction of tomographic images from sparse data sets by a new finite element maximum entropy approach. Appl. Opt., 1991, 30(5):573~582 |
[7] | 叶庆凯,王肇明.优化与最优控制中的计算方法.北京:科学出版社,1986. |
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