Segmenting ideal morphologies of sewer pipe defects on CCTV images for automated diagnosis

Expert Systems with Applications

Volumn 36, Issue 2 PART 2, 2009, Pages 3562-3573

  Yang, Ming Der ^a   Su, Tung Ching ^a  

^a NATIONAL CHUNG HSING UNIVERSITY   (Taiwan)

Author keywords

CCTV; Diagnostic system; Image processing; Morphologies of pipe defects

Indexed keywords

AUTOMATION; CLOSED CIRCUIT TELEVISION SYSTEMS; DEFECTS; IMAGE PROCESSING; IMAGE SEGMENTATION; LIGHT SOURCES; MORPHOLOGY; SEWERS;

AUTOMATED DIAGNOSIS; AUTOMATED SYSTEMS; DIAGNOSTIC SYSTEMS; IMAGING CONDITIONS; MORPHOLOGICAL FEATURES; MORPHOLOGIES OF PIPE DEFECTS; RADIAL BASIS NETWORKS; SEGMENTATION RESULTS;

IMAGE ENHANCEMENT;

EID: 56349114835     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2008.02.006     Document Type: Article

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