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随机线性路径函数在稳相法重建中的应用

Random lineal-path function applied to stable-phase reconstruction algorithm
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摘要 为了提高稳相分级模拟退火算法在三维重建上的精度,引入随机线性路径函数,与两点相关函数同时约束重建过程,借助稳相模拟退火思想,最终重建出三维图像。针对大量岩心二维图像进行实验分析,结果表明:相较于单约束条件,改进的重建算法能够显著提高重建精度,保存更多原始图像的形态学特性。 To improve the precision in three dimensional reconstruction using stable-phase hierarchical annealing algorithm,this paper presents a new constraint function-random lineal-path function which is combined with two-point correlation function and applied to stable-phase method in three dimensional reconstruction of porous media images. Based on the experimental results in reconstructing numbers of two-phase images,it can be concluded that the improved algorithm can remarkably improve the reconstruction precision and preserve more morphological properties than the original stable-phase method with single constraint condition.
出处 《微型机与应用》 2016年第6期44-47,共4页 Microcomputer & Its Applications
关键词 分级模拟退火 两点相关函数 线性路径函数 三维重建 hierarchical annealing two-point correlation function lineal-path function three dimensional reconstruction
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