Image processing for automatic extraction of rock joint orientation data from digital images

R. M. Post, John M Kemeny, R. Murphy

Research output: Chapter in Book/Report/Conference proceedingConference contribution

20 Scopus citations

Abstract

A complete algorithm for starting with a digital image of a rock face, automatically delineating traces, and extracting three dimensional joint or fracture orientation data is described. Less emphasis is placed on the pre-processing of the image, as different images require different levels of filtering, but nearly all pre-processing ultimately produces a binary image resembling a trace map. The special R-Theta Hough transform is then used to find and extract linear features from the binary image. Using relationships derived from vector calculus, and assuming a Fisher distribution for each structure set, a forward Monte Carlo simulation is performed to determine mean dip and dip direction of the set, as well as the Fisher constant, K. A case study is presented to illustrate the performance of the algorithm, however more case studies are needed to compare results gained with image processing to results of a scanline survey.

Original languageEnglish (US)
Title of host publicationDC Rocks 2001 - 38th U.S. Symposium on Rock Mechanics (USRMS)
Editors Elsworth, Tinucci, Heasley
PublisherAmerican Rock Mechanics Association (ARMA)
Pages877-884
Number of pages8
ISBN (Print)9026518277, 9789026518270
Publication statusPublished - Jan 1 2001
Event38th U.S. Symposium on Rock Mechanics, DC Rocks 2001 - Washington, United States
Duration: Jul 7 2001Jul 10 2001

Other

Other38th U.S. Symposium on Rock Mechanics, DC Rocks 2001
CountryUnited States
CityWashington
Period7/7/017/10/01

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ASJC Scopus subject areas

  • Geophysics
  • Geochemistry and Petrology

Cite this

Post, R. M., Kemeny, J. M., & Murphy, R. (2001). Image processing for automatic extraction of rock joint orientation data from digital images. In Elsworth, Tinucci, & Heasley (Eds.), DC Rocks 2001 - 38th U.S. Symposium on Rock Mechanics (USRMS) (pp. 877-884). American Rock Mechanics Association (ARMA).