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基于ELSD的指针式仪表自动识别算法研究 被引量:6

Research on automatic recognition algorithm of pointer instrument based on ELSD
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摘要 为实现指针式仪表自动识别,本文提出一种基于直线椭圆检测器(ELSD)的指针仪表自动识别策略。整个策略包括刻度线粗识别、仪表圆弧边界拟合、刻度线重识别和排序、仪表指针识别以及仪表示数计算等5个模块。首先,使用本文设计的自动迭代算法将检测到的线段匹配成对,并结合K-means聚类算法得到粗识别的刻度线;接着,根据粗识别出的刻度线与检测出的仪表圆弧位置关系确定仪表圆弧边界;然后,根据仪表刻度线与圆弧边界相交重新确定刻度线并进行插值补全、排序,构建出整个仪表刻度线坐标系;最后,根据仪表指针自身结构特征得到指针在坐标系中的位置并计算出仪表示数。通过实验结果可知,本文提出的算法可减少对模板图像和人工标定的依赖,在保证准确率的情况下能简化并加快整个仪表自动识别过程。 In order to realize the automatic identification of pointer meters an automatic recognition strategy for pointer meters based on ellipse and line segment detector(ELSD)is proposed.The whole strategy includes five modules:tick mark rough recognition instrument arc boundary fitting tick mark re identification and sorting instrument pointer recognition and instrument representation number calculation.Firstly the automatic iterative algorithm de signed in this paper is used to match the detected line segments into pairs and the K means clustering algorithm is used to obtain the rough recognized tick marks.Then according to the rough recognized tick marks and the detec ted instrument arc positions the relationship determines the arc boundary of the instrument.Thirdly according to the intersection of the meter tick and the arc boundary the tick mark is re determined and the interpolation is com pleted and sorted to construct the entire instrument tick coordinate system.Finally the pointer is obtained accord ing to the structural characteristics of the meter pointer itself.The position in the coordinate system and the number of representations is calculated.The experiment results show that the proposed algorithm can reduce the depend ence on template image and manual calibration and simplify and speed up the automatic identification process of the whole instrument while ensuring its accuracy.
作者 喻汉 吴怀宇 陈镜宇 徐发兵 Yu Han;Wu Huaiyu;Chen Jingyu;Xu Fabing(School of Information Science and Engineering,Wuhan University of Science and Technology,Wuhan 430081)
出处 《高技术通讯》 EI CAS 北大核心 2019年第7期648-655,共8页 Chinese High Technology Letters
基金 国家自然科学基金(61573263) 湖北省科技支撑(2015BAA018) 国家重点研发计划子课题(2017YFC0806503)资助项目
关键词 直线椭圆检测器(ELSD) 仪表识别 K means聚类 指针识别 ellipse and line segment detector(ELSD) instrument identification K-means clustering pointer recognition
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