[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()

基于改进Hough与图像比对法的窨井盖疑似破裂检测

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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

基于改进Hough与图像比对法的窨井盖疑似破裂检测

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

张丰焰¹;  3;  4;  陈荣保²;  李扬²;  过秀成¹

¹东南大学交通学院, 南京 210096; ²合肥工业大学电气与自动化工程学院, 合肥 230009; ³苏交科集团股份有限公司, 南京 210017; ⁴安徽交通职业技术学院土木工程系, 合肥 230051

Keywords:

manhole cover;  edge tracking;  improved Hough transform;  shape detection;  image contrast

窨井盖;  边缘跟踪;  改进Hough变换;  形状检测;  图像比对

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.

由于不能及时发现城市道路窨井盖的破损和缺失, 对市民的生命与财产安全造成极大的伤害, 且目前已见报道的诸多研究成果均存在实施难度的问题, 基于城市道路现有的道路视频图像, 提出了针对复杂路面情况下识别窨井盖破损和缺失的改进Hough变换与图像比对综合算法.在经过预处理的图像上, 利用边缘跟踪算法找到所有的边缘轮廓后, 利用改进的Hough变换、色彩识别与图像比对算法找到窨井盖区域, 同时计算出窨井盖区域变化率, 根据变化率是否达到阈值来判别窨井盖是否有疑似破损与缺失情况.该方案有效地提高了传统Hough变换的处理速度, 减少了无效采样、累积.实验结果表明, 该算法在多种复杂背景、不同视角、不同拍摄时间和条件、目标被部分遮挡等情况下都有很好的定位与缺失预警效果.

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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]

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