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 contribution


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 (US)
Title of host publicationConference Proceedings - IEEE SOUTHEASTCON
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781479965854
StatePublished - Nov 7 2014
Externally publishedYes
EventIEEE SoutheastCon 2014 - Lexington, United States
Duration: Mar 13 2014Mar 16 2014

Publication series

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


ConferenceIEEE SoutheastCon 2014
Country/TerritoryUnited States


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

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Software
  • Electrical and Electronic Engineering
  • Control and Systems Engineering
  • Signal Processing


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