Efficient algorithm for crack detection in sewer images from closed-circuit television inspections

From National Research Council Canada

DOIResolve DOI: https://doi.org/10.1061/(ASCE)IS.1943-555X.0000161
AuthorSearch for: 1; Search for: 1
Name affiliation
  1. National Research Council of Canada. Construction
FormatText, Article
Journal titleJournal of Infrastructure Systems
Article number4013014
SubjectComputer vision; Cracks; Defects; Feature extraction; Hough transforms; Image understanding; Mathematical morphology; Sewers; Automated defect detection; Background noise; Morphological operations; Pre-processing step; Rectangular shapes; Sewer inspection; Television inspection; Vertical edges; Crack detection; algorithm; computer vision; television; Alberta; Calgary; Regina; Saskatchewan
Publication date
PublisherAmerican Society of Civil Engineers
Peer reviewedYes
NPARC number21275561
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Record identifier792e7f23-0ddd-4f59-8114-74ac884effa4
Record created2015-07-14
Record modified2020-04-22
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