|Table of Contents|

Modified C-V model algorithm of crack extraction for bridge substructure(PDF)

《交通运输工程学报》[ISSN:1671-1637/CN:61-1369/U]

Issue:
2012年04期
Page:
9-16
Research Field:
道路与铁道工程
Publishing date:

Info

Title:
Modified C-V model algorithm of crack extraction for bridge substructure
Author(s):
LI Gang1;  HE Shuan-hai2;  DU Kai1;  LIU Wei3;  DU Qin-wen2
1. School of Electronic and Control Engineering, Chang'an University, Xi'an 710064, Shaanxi, China; 2. School of Highway, Chang'an University, Xi'an 710064, Shaanxi, China; 3. School of Automobile, Chang'an University, Xi'an 710064, Shaanxi, China
Keywords:
bridge engineering;  crack extraction;  image segmentation;  modified C-V model algorithm;  image rotation
PACS:
U443.2
DOI:
-
Abstract:
The crack image segmentation of bridge substructure was studied by utilizing a modified C-V model. Crack clip, image filling and rotation transformation were applied for the precise extraction of crack width. The crack images of existing concrete bridge structure were taken in different illuminations, and test results were compared by using modified C-V model algorithm, adaptive threshold algorithm, morphology algorithm, C-V model and Canny algorithm. Analysis result indicates that the misclassification rate of modified C-V model algorithm is 3.02%, the operation time is 89 ms, and the values are minimum compared with other methods. Based on the comparative test on 1 000 crack images of bridge structure, the accuracy rate of crack detection is greater than 90.8%, and the mean error of crack width is less than 0.03 mm. So the modified algorithm can effectively improve detection accuracy rate, and reduce operation time. 2 tabs, 6 figs, 16 refs.

References:

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Memo

Memo:
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Last Update: 2012-08-30