Determination Of Pavement Surface Cracks From Video-Images Using An Image Scale-Space Approach

dc.contributorVirginia Tech Transportation Instituteen
dc.contributor.authorArmenakis, C.en
dc.contributor.authorNingyuan, Lien
dc.date.accessioned2014-09-05T19:54:48Zen
dc.date.available2014-09-05T19:54:48Zen
dc.date.issued2012en
dc.description.abstractAssessment of pavement surface distress is an important component of the pavement management process. Pavement surface distresses characterize failures and distortions of the pavement surface structure. A large number of highway surface images have been collected through the application of a video image system. We present an automated approach that detects pavement surface cracks from a forward viewing video camera system. Initially the oblique imagery is transformed to a rectified one which supports quantitative measurements of the crack patterns. For the detection and extraction of pavement surface distress elements, we propose to use a scale-space image approach, where the image scale is defined based on the level of detail of the image structure to be detected. Finally, the detection of crack patterns is performed considering the image as a 3D intensity surface where the bright and dark lines are considered as ridges and valleys. The approach is based on determining the local directions of the image curvature along the curvilinear lines, and determining where along these directional profiles the second derivative of the line profile reaches its maximum absolute value.en
dc.format.mimetypeapplication/pdfen
dc.identifier.urihttp://hdl.handle.net/10919/50454en
dc.language.isoen_USen
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectPavement surfacesen
dc.subjectDistortionsen
dc.subjectCrack patternsen
dc.titleDetermination Of Pavement Surface Cracks From Video-Images Using An Image Scale-Space Approachen
dc.title.serial7th Symposium on Pavement Surface Characteristics: SURF 2012en
dc.typeArticleen
dc.type.dcmitypeTexten

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