Research on vision inspection system for drainage pipeline's damage based on pattern recognition

A vision inspection system is introduced to detect drainage pipelines, identify the inner wall side damage situation such as crack, hole etc.. Pipeline image is preprocessed using image processing technique and segmented by threshold to find out external contour of the damage region. Then, damage fe...

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Bibliographic Details
Published in2007 IEEE International Conference on Robotics and Biomimetics (ROBIO) pp. 697 - 701
Main Authors XueLan Zhang, TianJian Li, Hong Gao, JingRu Hao
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.12.2007
Subjects
drainage pipeline
edge detection
Hardware
Image edge detection
Image processing
Image segmentation
Inspection
Machine vision
neural network
Neural networks
Pattern recognition
Pipelines
Robot vision systems
threshold segmentation
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Summary:A vision inspection system is introduced to detect drainage pipelines, identify the inner wall side damage situation such as crack, hole etc.. Pipeline image is preprocessed using image processing technique and segmented by threshold to find out external contour of the damage region. Then, damage feature is extracted to identify the damage type using both statistics recognition and BP neural network (BP NN) recognition. In the end, recognition difference between statistic and BPNN is discussed.
ISBN:1424417619
9781424417612
DOI:10.1109/ROBIO.2007.4522247