NDLI: Automatic crack detection on road imagery using anisotropic diffusion and region linkage

Content Provider	IEEE Xplore Digital Library
Author	Oliveira, H. Lobato Correia, P.
Copyright Year	2010
Description	Author affiliation: Inst. de Telecomun. - Inst. Super. Tecnico, Lisbon, Portugal (Oliveira, H.; Lobato Correia, P.)
Abstract	A novel strategy to automatically detect cracks in road pavement surface imagery, acquired by a laser imaging system, is proposed. It includes a new procedure to link fragments of crack regions based on a maximum a posteriori (map) classifier, which relies on a set of geometric characteristics of the segmented binary regions. The proposed system starts with an anisotropic diffusion filtering, to smooth image texture variations resulting from the type of sensor used. Then, a Gaussian function is used to model the histogram for pixels intensities below a certain value, which allows inferring the threshold level to be used for image segmentation. Next, less relevant binary regions are identified, being kept only if they are linked to relevant crack regions. Encouraging experimental crack detection results are presented based on real images captured along Canadian roads.
Starting Page	274
Ending Page	278
File Size	927269
Page Count	5
File Format	PDF
ISSN	22195491
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-08-23
Publisher Place	Denmark
Access Restriction	Subscribed
Rights Holder	EUSIPCO
Subject Keyword	Couplings Image segmentation Histograms Anisotropic magnetoresistance Filtering Roads Surface cracks
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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