基于MSER-Otsu与直线矫正的仪表指针定位算法

针对配电站无人值守作业机器人执行巡检任务时对指针式仪表的识读需求,提出一种结合MSER-Otsu阈值分割与Hough变换直线矫正的仪表指针定位算法.利用最大稳定极值区域算法从表盘图像中粗提取出指针区域,引入迭代Otsu算法进一步对该区域进行阈值分割,将指针、阴影和背景区域像素点分离后仅保留指针的二值化图像,对其采用Ho...

Meter Pointer Location Algorithm Based on MSER-Otsu and Line Correction

When performing on-site inspection tasks,the unattended robots in power distribution stations need to read the meters.To meet the requirement,this paper proposes an algorithm for meter pointer location based on MSER-Otsu threshold segmentation and Hough transform line correction.The pointer region is roughly extracted from the dial image by using the Maximally Stable Extremal Region(MSER) algorithm,and then the iterative Otsu's algorithm is used for its threshold segmentation.The pixels of the pointer,shadow and background are separated,and only the binary image of the pointer is retained.Hough transform is performed on the binary image to pre-locate the center line of the pointer,and subsequently Huber loss is used as the optimization function to correct the line,completing the location of the center line of the pointer.Experimental results show that the proposed algorithm can accurately locate the meter pointer and calculate the pointer deflection angle in complex environment.Compared with the Hough transform algorithm and the Huber loss fitting algorithm,it has higher processing speed and robustness,and can meet the actual needs of inspection robots in power distribution stations.