Fissure Changes of Granite Video Image Using Fractional Differential

Chapter
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 129)

Abstract

The video images photographed in laboratory tests were used to investigate the fissure changes in granite. Frames were extracted out and investigated using the digital image processing. The intro-frame average technique was utilized to overcome the effects of sample trembles on the image processing. The locations of the micro compositions, especially those of new-generated fissures, were examined using fractional differential. The effects of the surrounding factors on the image properties were also examined. A criterion of image characteristic parameters for generating new fissures was furthermore proposed. The method proposed herein may be used as references in analyzing the physical mechanism of deformations and failures of rock materials or rock masses in rock regions.

Keywords

Video Image Rock Failure Initiation Criterion Threshold Technique Shanghai Municipal Education Commission 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. 1.
    Vajdov, V., Zhu, W., Chen, T.M.N., Wong, T.F.: Micromechanics of brittle faulting and cataclastic flow in Tavel limestone. J. Struct. Geol. 32, 1158–1169 (2010)CrossRefGoogle Scholar
  2. 2.
    Wang, W.X., Yu, X., Lai, J.: Image enhancement for rock fractures based on fractional diferential. J. Comput. Appl. 29, 3015–3017 (2009) (in Chinese) Google Scholar
  3. 3.
    Xu, J., Han, N.N., Li, Y.: Digital features of localized deformation of limestone. Chin. J. Rock Mech. & Eng. 29, 2110–2115 (2010) (in Chinese) Google Scholar
  4. 4.
    Xu, J., Zhao, X., Liu, B.: Digital image analysis of fluid inclusions. Int. J. Rock Mech. & Min. Sci. 44, 942–947 (2007)CrossRefGoogle Scholar
  5. 5.
    Yang, Z.: An amage extraction algorithm for rock fractures on fractional differential. Comput. & Inf. Tech. 17, 6–8 (2009) (in Chinese) Google Scholar

Copyright information

© Springer-Verlag GmbH Berlin Heidelberg 2012

Authors and Affiliations

  • Jinming Xu
    • 1
  • Xu Feng
    • 1
  • Xiaohong Xu
    • 2
  • Binghua Chen
    • 2
  1. 1.Department of Civil EngineeringShanghai UniversityShanghaiChina
  2. 2.Shanghai Science and Technology MuseumShanghaiChina

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