摘要
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.
基金
The Natural Science Fundation of Education Department of Anhui Province(No.KJ2012B051)
