Morphological segmentation based on edge detection for sewer pipe defects on CCTV images

Expert Systems with Applications

Volumn 38, Issue 10, 2011, Pages 13094-13114

  Su, Tung Ching ^a   Yang, Ming Der ^b   Wu, Tsung Chiang ^a   Lin, Ji Yuan ^c  

^a NATIONAL QUEMOY UNIVERSITY   (Taiwan)

^b NATIONAL CHUNG HSING UNIVERSITY   (Taiwan)

^c CHAOYANG UNIVERSITY OF TECHNOLOGY   (Taiwan)

Author keywords

Edge detection; Morphological segmentation; Opening top hat operation; Sewer pipe defect

Indexed keywords

ARTIFICIAL INTELLIGENCE TECHNIQUES; AUTOMATIC DIAGNOSIS; CCTV IMAGES; DIAGNOSTIC SYSTEMS; ENVIRONMENTAL INFLUENCES; ESSENTIAL WORKS; IMAGE NOISE; MAJOR AXIS; MINOR AXIS; MORPHOLOGICAL FEATURES; MORPHOLOGICAL SEGMENTATION; OPENING TOP-HAT OPERATION; SEGMENTATION RESULTS; SEWER INSPECTION; SEWER PIPE DEFECT; SEWER PIPES; SEWER REHABILITATION;

ARTIFICIAL INTELLIGENCE; DEFECTS; EDGE DETECTION; MORPHOLOGY; PIPE; SEWERS;

IMAGE SEGMENTATION;

EID: 79957986883     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2011.04.116     Document Type: Article

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