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

Author

Zhang, XueLan ; Li, Tianjian ; Gao, Hong ; Hao, Jingru

Author_Institution

Dept. of Mechanism, Beijing Inf. Sci. & Technol. Univ., Beijing

fYear

2007

fDate

15-18 Dec. 2007

Firstpage

697

Lastpage

701

Abstract

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.

Keywords

image processing; neural nets; pattern recognition; pipelines; BP neural network recognition; damage drainage pipeline; image processing technique; pipeline image; statistics recognition; vision inspection system; Hardware; Image edge detection; Image processing; Image segmentation; Inspection; Machine vision; Neural networks; Pattern recognition; Pipelines; Robot vision systems; drainage pipeline; edge detection; neural network; pattern recognition; threshold segmentation;

fLanguage

English

Publisher

ieee

Conference_Titel

Robotics and Biomimetics, 2007. ROBIO 2007. IEEE International Conference on

Conference_Location

Sanya

Print_ISBN

978-1-4244-1761-2

Electronic_ISBN

978-1-4244-1758-2

Type

conf

DOI

10.1109/ROBIO.2007.4522247

Filename

4522247