An innovative methodology for detection and quantification of cracks through incorporation of depth perception

Machine Vision and Applications

Volumn 24, Issue 2, 2013, Pages 227-241

  Jahanshahi, Mohammad R ^a   Masri, Sami F ^a   Padgett, Curtis W ^b   Sukhatme, Gaurav S ^a  

^a University of Southern California   (United States)

^b CALIFORNIA INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

3D scene reconstruction; Computer vision; Crack detection; Image processing; Morphological operation; Pattern classification; Thickness quantification

Indexed keywords

3D SCENE RECONSTRUCTION; ADAPTIVE FEATURES; DETECTION APPROACH; FIELD APPLICATION; FOCAL LENGTHS; IMAGE CONTRASTS; MOBILE SYSTEMS; MORPHOLOGICAL OPERATIONS; NONDESTRUCTIVE TESTING METHOD; QUALITATIVE METHOD; ROBOTIC INSPECTION SYSTEM; STRUCTURAL INSPECTIONS; THICKNESS QUANTIFICATION; VISUAL INSPECTION;

COMPUTER VISION; CRACKS; DAMAGE DETECTION; DEPTH PERCEPTION; IMAGE PROCESSING; MATHEMATICAL MORPHOLOGY; PATTERN RECOGNITION; REMOTE SENSING; THREE DIMENSIONAL; THREE DIMENSIONAL COMPUTER GRAPHICS;

CRACK DETECTION;

EID: 84872284342     PISSN: 09328092     EISSN: 14321769     Source Type: Journal    
DOI: 10.1007/s00138-011-0394-0     Document Type: Article

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