Complicated Rock Joints Geometry Complexity Analysis Based on Image Processing

Author

Cui, Bing ; Wang, Weixing ; Gan, Ling

Author_Institution

Dept. of Comput. Sci. & Technol., Chongqing Univ. of Posts & Telecommun.

Volume

2

fYear

0

fDate

0-0 0

Firstpage

9523

Lastpage

9527

Abstract

In the analysis of the geometry complexity of rock joints, image processing and analysis is one of the best techniques. The measurement parameters of rock joints can be obtained by using digital image analysis technique. And the grade of geometry complexity of rock joints can be determined on considering the parameters comprehensively based on fuzzy comprehensive judgement. After image processing and segmentation of complicated rock joints, the remaining question is how to analyze the complex rock joint network. To resolve the problem, a fuzzy set is setup. In the set, four parameters, area ratio of joints and non-joints, joint branch number per square meters-, joint grid number per square meters-, the ratio of grids´ average area and rock sample area, are used. Based on the four basic parameters, the algorithm of fuzzy comprehensive judgement is studied. As tested, the studied algorithm can give a more accurate result for rock joint geometry complexity analysis

Keywords

fuzzy set theory; geophysics computing; image segmentation; rocks; digital image analysis; fuzzy comprehensive judgement; fuzzy set; image processing; image segmentation; rock joint geometry complexity analysis; Computer science; Digital images; Fractals; Gallium nitride; Geometry; Image analysis; Image processing; Image segmentation; Joints; Skeleton; Digital image processing; complicated rock joint; fuzzy comprehensive judgement; geometry complexity;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on

Conference_Location

Dalian

Print_ISBN

1-4244-0332-4

Type

conf

DOI

10.1109/WCICA.2006.1713847

Filename

1713847