Segmentation of cracks in X-ray CT images of tested macroporous plaster specimens

Ujjal Kumar Bhowmik, Divya Mandala, Nick W. Hudyma, O. Patrick Kreidl, Alan Harris

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

6 Scopus citations

Abstract

Precise segmentation of cracks is essential to characterize the structural properties of a rock specimen under compressive force. A two-dimensional internal cross-sectional image of rock can be created using X-ray computed tomography (CT scanning). Cracks in rocks usually have very poor local contrast which makes it difficult to detect and segment cracks from the background using existing popular edge detection algorithms. In this paper, we propose a two-dimensional matched filtering technique followed by local entropy based thresholding, morphological operators and length filtering to detect and segment cracks from the cross-sectional images of rock. The proposed algorithm is tested on several macroporous plaster specimens. Experimental results demonstrate the effectiveness and robustness of the algorithm compared to hand-labeled ground truth segmentations.

Original languageEnglish
Title of host publicationConference Proceedings - IEEE SOUTHEASTCON
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781479965854
DOIs
StatePublished - 7 Nov 2014
EventIEEE SoutheastCon 2014 - Lexington, United States
Duration: 13 Mar 201416 Mar 2014

Publication series

NameConference Proceedings - IEEE SOUTHEASTCON
ISSN (Print)1091-0050
ISSN (Electronic)1558-058X

Conference

ConferenceIEEE SoutheastCon 2014
Country/TerritoryUnited States
CityLexington
Period13/03/1416/03/14

Keywords

  • Computed tomography
  • Edge detection
  • local entropy thresholding
  • matched filtering
  • mathematical morphology

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