计算机工程与科学2013，Vol.35Issue(3)：134-139,6.DOI:10.3969/j.issn.1007-130X.2013.03.022
基于计算机视觉的汽车仪表指针检测方法
Novel automobile meter pointer detection algorithm based on computer vision
摘要
Abstract
The most common automobile meter is the pointer meter. The pointer detection of the automobile meter in industry is mainly concentrated on the detection of the pointer angle and the measurement of the light guide property of pointer. Accurate detection is the key of automobile quality. Currently, manual meter detection is widely used in Chinese automobile industry, which is tedious and with a high variability of quality control. According to the image characteristics of automobile pointer meter, a minimum gradient comparing subtraction method is used to extract the meter pointer from two images with the same background and pointers in different positions. Then, the pointer angle can be recognized by the binary method, the thinning algorithm and the Hough transform. Meanwhile, the extracted pointer is utilized to realize the detection of pointer light guide property. Experimental results show this proposed method is robust, accurate and can be performed in real-time. It has been successfully applied to an automatic detection system of automobile meter based on computer vision.关键词
汽车仪表/指针检测/导光/最小灰度相减/Hough变换Key words
automobile meter/ pointer detection/ light guide/ minimum gradient comparing subtraction/ Hough transform分类
信息技术与安全科学引用本文复制引用
张冀,王俊宏,尉迟明,丁明跃,侯文广..基于计算机视觉的汽车仪表指针检测方法[J].计算机工程与科学,2013,35(3):134-139,6.基金项目
国家973计划资助项目(2011CB933103) （2011CB933103）
中英国际科技合作项目(2009DFA12290) （2009DFA12290）
