基于双重霍夫空间投票的指针表自动读数方法

Automatic reading method of pointer meter based on double Hough space voting

针对现有指针式仪表自动读数算法对图像采集条件要求较为严格的缺陷,提出一种基于双重霍夫空间投票的指针式仪表自动读数方法。该方法根据仪表刻度和圆心在霍夫空间中的分布特性,自适应地计算仪表圆心,并在极坐标空间使用投影法对图像进行分割,提取刻度和指针信息,最后通过距离法对指针式仪表进行读数。实验证明,所提出算法的平均引用误差均在0.8%以下,有效提高了读数的正确率及鲁棒性。

Aiming at the defect that existing automatic reading algorithm of the pointer meter has strict requirements on the image acquisition conditions. This paper proposes an automatic reading method of the pointer meter based on double Hough space voting. According to the distribution characteristics of the meter scale and the center of the circle in Hough space, the method adaptively calculates the center of the meter, divides the image in the polar coordinate space with the projection method, extracts the scale and pointer information, and finally reads the pointer meter with the distance method. Experiments show that the quoted error of the proposed algorithm is below 0. 8%, which effectively improves the correct rate and robustness of the meter reading.