A HYBRID RECONSTRUCTION METHOD OF SANDSTONE FROM 2D SECTION IMAGE

被引：0
|
作者：
Tang Tang [1 ]
Teng Qi-zhi [1 ]
He Xiao-hai [1 ]
机构：
[1] Sichuan Univ, Sch Elect & Informat Engn, Chengdu 610065, Sichuan, Peoples R China
来源：
2008 INTERNATIONAL CONFERENCE ON NEURAL NETWORKS AND SIGNAL PROCESSING, VOLS 1 AND 2 | 2007年
关键词：
Reconstruction; Simulated Annealing; Fourier Tranforms;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
We present a hybrid algorithm to reconstruct 3D microstructure from 2D section image of sandstone. Utilizing porosity and autocorrelation function of 2D image, truncated Gaussian method based on fast Fourier transformation is used to reconstruct an initial structure rapidly with less accuracy. The initial structure is evolved by simulated annealing method to reconstruct a microstructure with the same statistic characteristics of 2D section image. Permeability of reconstructed microstructure estimated by Kozeny-Carman formula is close to that of tomographic images of sandstone. Experiments and comparisons show that the hybrid reconstruction method is more efficient and effective than simulated annealing algorithm alone.
引用
收藏
页码：342 / 347
页数：6
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