|Table of Contents|

Pavement crack detection based on visual model(PDF)

长安大学学报（自然科学版）[ISSN:1006-6977/CN:61-1281/TN]

Issue:
2009年05期
Page:
21-24
Research Field:
Publishing date:
2009-10-20

Info

Title:
Pavement crack detection based on visual model
Author(s):
ZHANG Lei1;  XIAO Mei1;  MA Jian1;  SONG Hongxun2
1. School of Automobile, Changan University, Xian 710064, Shaanxi, China; 2. Research Institute of Electrooptics, Changan University, Xian 710064, Shaanxi, China
Keywords:
road engineering;  crack detection;  visual model;  morphology;  contour structuring element
PACS:
U418.6
DOI:
-
Abstract:
This paper uses opening and closing operations based on multiscale contour structuring elements to remove noise, and grade image is obtained by the smallest size contour structuring. An image can be divided into low dark area, middle area and high bright area through Webers law according to bionics principle and background brightness. The edge thresholds for the different areas are calculated according to the different equations respectively.The proposed crack edge detector is tested on popular images having different image properties and also compared with popular edge detectors from the literature. Experimental results show that the proposed crack edge detector exhibits much better performance than the one of competing operators, and may efficiently be used for the detection of crack in digital pavement images. 2 tabs, 5 figs, 17 refs.

References:

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Last Update: 2009-10-20