摘要
针对无轨电车集电杆与电线脱落后无法自动连接的缺点,本文提出一种应用于无轨电车集电杆自动连接系统的电线检测跟踪算法.算法包括图像预处理、直线提取、电线聚类滤波3部分.首先提出一种快速滤波模版,结合Otsu算法得到滤波模版的分割阈值,提取电线二值图像.然后应用概率霍夫变换(PHT)获取直线信息集合.最后在霍夫空间下,使用系统聚类算法对直线集合进行聚类分组,结合电线特征获取正确电线位置信息.为了验证本文算法,对视频图像(25帧/s)进行测试,实验结果表明,该算法在复杂背景干扰下,能够高速、准确地提取电线位置.
The poles of trolleybuses will fall off from the power lines when the trolleybuses overtake or change the lane. Regarding this problem, a detection and tracking algorithm for power line positions is proposed in automatic connection system of trolleybus＇ s poles. This algorithm involves three stages ： image preprocessing, line extraction, and power line clustering and filtering . Firstly, the fast filtering template is proposed, and combined with Otsu algorithm, segmentation threshold of the template is obtained to ex- tract binary image of power line. Secondly, the probabilistic Hough transform （PHT） is applied to obtain the line set. Finally, in the Hough space, system clustering algorithm is used to cluster and filter the for- mer line set to obtain the final line set , from which the correct power line positions are acquired accord- ing to characteristics of power lines. To verify the algorithm proposed , the video sequence （25 frame/s） is tested with the algorithm. Experimental results show that the algorithm proposed can extract power line positions fast and accurately under complex background interference.
出处
《纳米技术与精密工程》
CSCD
北大核心
2017年第3期205-211,共7页
Nanotechnology and Precision Engineering
关键词
电线检测
OTSU算法
滤波模版
概率霍夫变换(PHT)
聚类算法
power line detection
Otsu algorithm
filtering template
probabilistic Hough transform （PHT）
clustering algorithm
