Articles | Volume 10, issue 6
Research article
20 Dec 2019
Research article |  | 20 Dec 2019

An automated fracture trace detection technique using the complex shearlet transform

Rahul Prabhakaran, Pierre-Olivier Bruna, Giovanni Bertotti, and David Smeulders

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Cited articles

Abdullah, A., Nassr, S., and Ghaleeb, A.: Landsat ETM-7 for Lineament Mapping Using Automatic Extraction Technique in the SW Part of Taiz Area, Yemen, Global Journal of Human-Social Science Research (B), 13, 35–38, 2013. a
AgiSoft PhotoScan Professional (Version 1.2.6): PhotoScan Professional (Version 1.2.6), available at: (last access: 8 August 2019), 2016. a
Ahmadzadeh, R.: Douglas-Peucker Algorithm, available at: (last access: 17 September 2019), 2017. a
Aljuboori, F., Corbett, P. W. M., Bisdom, K., Bertotti, G., and Geiger, S.: Using Outcrop Data for Geological Well Test Modelling in Fractured Reservoirs, in: 77th EAGE Conference and Exhibition, Madrid, Spain, 1–5 June 2015, We-N118-01,, 2015. a
Andrews, B. J., Roberts, J. J., Shipton, Z. K., Bigi, S., Tartarello, M. C., and Johnson, G.: How do we see fractures? Quantifying subjective bias in fracture data collection, Solid Earth, 10, 487–516,, 2019. a
Short summary
This contribution describes a technique to automatically extract digitized fracture patterns from images of fractured rock. Digitizing fracture patterns, accurately and rapidly with minimal human intervention, is a desirable objective in fractured rock characterization. Our method can extract fractures at varying scales of rock discontinuities, and results are presented from three different outcrop settings. The method enables faster processing of copious amounts of fractured outcrop image data.