Neuro-fuzzy network for the classification of buried pipe defects

Automation in Construction

Volumn 15, Issue 1, 2006, Pages 73-83

  Sinha, Sunil K ^a   Fieguth, Paul W ^b  

^a The Pennsylvania State University   (United States)

^b UNIVERSITY OF WATERLOO   (Canada)

Author keywords

Automated inspection; Backpropagation network; Features; Image processing; Neural network; Neuro fuzzy projection network; Pipeline infrastructure; Segmentation

Indexed keywords

DEFECTS; FUZZY SETS; IMAGE PROCESSING; IMAGE SEGMENTATION; INSTALLATION; NEURAL NETWORKS; PROJECTION SYSTEMS; QUALITY CONTROL; STRUCTURAL DESIGN;

AUTOMATED INSPECTION; BACKPROPAGATION NETWORKS; FEATURES; NEURO-FUZZY PROJECTION NETWORKS; PIPELINE INFRASTRUCTURE; SEGMENTATION;

PIPELINES;

EID: 26444564627     PISSN: 09265805     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.autcon.2005.02.005     Document Type: Article

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