Reconstruction of 3D microstructure of the rock sample basing on the CT images

Author

He, Xiang

Author_Institution

Inst. of the Mech. of Porous Media, Wuhan Polytech. Univ., Wuhan, China

fYear

2009

fDate

12-15 July 2009

Firstpage

74

Lastpage

78

Abstract

A new image segmentation algorithm based on the Kring interpolation algorithm is proposed to segment the CT images of the rock into pore systems and the mineral grain systems. With the method, the CT image of the rock is segmented without isolated island by analyzing the correlation between the pixels of the image. The 3D microstructure of the pore system and the mineral grain system in the rock sample are reconstructed basing on the segmented images with matching cube algorithm, in which the volume element is reconstructed with 3-dimensional interpolation method and the equipotential surface is analyzed by triangular facet method. The reconstructed microstructures are verified by slice images in two other orthometric directions and the results prove that both the distribution and the shape characteristic of the pores and mineral grains in the reconstructed microstructure are in coincidence with that in the actual CT image with statistical significance.

Keywords

computerised tomography; image matching; image reconstruction; image segmentation; interpolation; 3D microstructure reconstruction; CT images; Kring interpolation algorithm; image segmentation algorithm; matching cube algorithm; mineral grain systems; pore systems; rock sample basing; triangular facet method; Algorithm design and analysis; Computed tomography; Image analysis; Image reconstruction; Image segmentation; Interpolation; Microstructure; Minerals; Pixel; Surface reconstruction; 3D reconstruction; Image segmentation; Kring interpolation algorithm; Matching cube method; Microstructure of the rock;

fLanguage

English

Publisher

ieee

Conference_Titel

Wavelet Analysis and Pattern Recognition, 2009. ICWAPR 2009. International Conference on

Conference_Location

Baoding

Print_ISBN

978-1-4244-3728-3

Electronic_ISBN

978-1-4244-3729-0

Type

conf

DOI

10.1109/ICWAPR.2009.5207428

Filename

5207428