|Table of Contents|

[1] Zhang Fengyan, , Chen Rongbao, et al. Detection of broken manhole coverusing improved Hough and image contrast [J]. Journal of Southeast University (English Edition), 2015, 31 (4): 553-558. [doi:10.3969/j.issn.1003-7985.2015.04.021]
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Detection of broken manhole coverusing improved Hough and image contrast()
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Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

Volumn:
31
Issue:
2015 4
Page:
553-558
Research Field:
Computer Science and Engineering
Publishing date:
2015-12-30

Info

Title:
Detection of broken manhole coverusing improved Hough and image contrast
Author(s):
Zhang Fengyan1 3 4 Chen Rongbao2 Li Yang2 Guo Xiucheng1
1School of Transportation, Southeast University, Nanjing 210096, China
2School of Electrical Engineering and Automation, Hefei University of Technology, Hefei 230009, China
3Jiangsu Transportation Institute Co., Ltd., Nanjing 210017, China
4Department of Civil Engineering, Anhui Communications Vocational and Technical College, Hefei 230051, China
Keywords:
manhole cover edge tracking improved Hough transform shape detection image contrast
PACS:
TP391
DOI:
10.3969/j.issn.1003-7985.2015.04.021
Abstract:
The damage or loss of urban road manhole covers may cause great risk to residents’ lives and property if they cannot be discovered in time. Most existing research recommendations for solving this problem are difficult to implement. This paper proposes an algorithm that combines the improved Hough transform and image comparison to identify the damage or loss of the manhole covers in complicated surface conditions by using existing urban road video images. Focusing on the pre-processed images, the edge contour tracking algorithm is applied to find all of the edges. Then with the improved Hough transformation, color recognition and image matching algorithm, the manhole cover area is found and the change rates of the manhole cover area are calculated. Based on the threshold of the change rates, it can be determined whether there is potential damage or loss in the manhole cover. Compared with the traditional Hough transform, the proposed method can effectively improve the processing speed and reduce invalid sampling and accumulation. Experimental results indicate that the proposed algorithm has the functions of effective positioning and early warning in the conditions of complex background, different perspectives, and different videoing time and conditions, such as when the target is partially covered.

References:

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Memo

Memo:
Biographies: Zhang Fengyan(1972—), doctor, male, zhangleike@126.com; Guo Xiucheng(corresponding author), male, doctor, professor, seuguo@163.com.
Foundation item: The Natural Science Fundation of Education Department of Anhui Province(No.KJ2012B051).
Citation: Zhang Fengyan, Chen Rongbao, Li Yang, et al. Detection of broken manhole cover using improved Hough and image contrast[J].Journal of Southeast University(English Edition), 2015, 31(4):553-558.[doi:10.3969/j.issn.1003-7985.2015.04.021]
Last Update: 2015-12-20