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

Content Provider	IEEE Xplore Digital Library
Author	Bhowmik, U.K. Mandala, D. Hudyma, N.W. Kreidl, O.P. Harris, A.
Copyright Year	2014
Description	Author affiliation: Electr. Eng. & Comput. Sci. Dept., Catholic Univ. of America, Washington, DC, USA (Bhowmik, U.K.) \|\| Sch. of Eng., Univ. of North Florida, Jacksonville, FL, USA (Mandala, D.; Hudyma, N.W.; Kreidl, O.P.; Harris, A.)
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.
Starting Page	1
Ending Page	8
File Size	2573647
Page Count	8
File Format	PDF
ISBN	9781479965854
ISSN	1558058X
DOI	10.1109/SECON.2014.6950688
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-03-13
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image segmentation Kernel Computed tomography Noise Matched filters Image coding Robustness mathematical morphology Edge detection matched filtering local entropy thresholding
Content Type	Text
Resource Type	Article

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