An automated fracture trace detection technique using  the complex shearlet transform

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

doi:https://doi.org/10.5194/se-10-2137-2019

Articles | Volume 10, issue 6

https://doi.org/10.5194/se-10-2137-2019

© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/se-10-2137-2019

© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

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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Final revised paper (published on 20 Dec 2019)
Preprint (discussion started on 19 Jun 2019)

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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- Supplement

SC1: 'A comment on less-visible fractures', Stephen Laubach, 24 Jun 2019
- AC1: 'Reply to Short Comment by Dr. Stephen Laubach', Rahul Prabhakaran, 13 Oct 2019
RC1: 'An automated fracture trace detection technique using the complex shearlet transform', Bertrand D.M. Gauthier, 14 Aug 2019
- AC3: 'Reply to Dr. Gauthier', Rahul Prabhakaran, 14 Oct 2019
- AC4: 'Marked Down Manuscript', Rahul Prabhakaran, 14 Oct 2019
RC2: 'Lamarche's review', Juliette Lamarche, 10 Sep 2019
- AC2: 'Reply to Dr. Lamarche', Rahul Prabhakaran, 13 Oct 2019
- AC5: 'Marked Down Manuscript', Rahul Prabhakaran, 14 Oct 2019
EC1: 'General comment', Federico Rossetti, 14 Oct 2019

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

AR by Rahul Prabhakaran on behalf of the Authors (08 Nov 2019) Author's response

ED: Publish as is (22 Nov 2019) by Federico Rossetti

ED: Publish as is (22 Nov 2019) by Federico Rossetti (Executive editor)

AR by Rahul Prabhakaran on behalf of the Authors (22 Nov 2019) Manuscript

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.