Three-dimensional Reconstruction of Coal-rock Microscopic Image using Pattern Density Function and Genetic Algorithm

被引：0
|
作者：
Li, Shuangcen [1 ]
Li, Chaofeng [2 ]
Ju, Yiwen [2 ]
机构：
[1] Jiangnan Univ, Sch Internet Things Engn, Wuxi, Peoples R China
[2] Shanghai Maritime Univ, Inst Logist Sci & Engn, Shanghai 200135, Peoples R China
来源：
PROCEEDINGS OF 2018 IEEE 3RD ADVANCED INFORMATION TECHNOLOGY, ELECTRONIC AND AUTOMATION CONTROL CONFERENCE (IAEAC 2018) | 2018年
基金：
中国国家自然科学基金;
关键词：
coal-rock; 3D reconstruction; pattern density function; genetic algorithm;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Three-dimensional (3D) reconstruction is of great significance to the research of spatial structure and physical properties of porous media. In this paper, we propose a kind of new 3D reconstruction algorithm of coal-rock microscopic image by combing pattern density function and genetic algorithm. One single 2D microscopic image is used as training image (TI) and pattern density function is used as constraint condition of genetic algorithm, and 3D structure of coal-rock is reconstructed by genetic algorithm. Our experimental results suggest that reconstructed results are similar with real structure at both physical and visual properties.
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页码：1411 / 1414
页数：4
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