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基于计算机视觉的防护眼镜视野测量方法
引用本文:赵敏,刘丹,李奕,乔卫东.基于计算机视觉的防护眼镜视野测量方法[J].计量学报,2019,40(5):786-792.
作者姓名:赵敏  刘丹  李奕  乔卫东
作者单位:西安理工大学机械与精密仪器工程学院,陕西西安,710048;陕西省计量科学研究院光学计量测试中心,陕西西安,710065
基金项目:国家质检公益项目(201410167)
摘    要:针对目前防护眼镜视野测量的单一性和低效性,提出一种基于计算机视觉的防护眼镜视野测量方法,建立了实验测量系统;利用标准头模和光纤光源模拟人眼直视前方时的视野区域,通过比较佩戴眼镜前后的视野投影区域的变化,快速判定眼镜的视野是否合格;以待测眼镜投影图为分析对象,聚类提取并保存眼镜轮廓信息,再根据人眼视觉特征,实现对眼镜视野的计算。实验结果表明:与传统检测方法相比,此方法具有检测速度快、智能化等特点,对一副眼镜视野的合格检测仅需10 s;并对测量系统进行了误差分析,最终得到扩展不确定度U=0.8(k=2),能满足防护眼镜视野检测的实际需要。

关 键 词:计量学  视野测量  防护眼镜  计算机视觉  图像处理
收稿时间:2018-07-20

Visual Field Measurement Method for protective eyeglasses based on Computer Vision
ZHAO Min,LIU Dan,LI Yi,QIAO Wei-dong.Visual Field Measurement Method for protective eyeglasses based on Computer Vision[J].Acta Metrologica Sinica,2019,40(5):786-792.
Authors:ZHAO Min  LIU Dan  LI Yi  QIAO Wei-dong
Affiliation:1. School of Mechanical & Precision Instr Eng, Xi‘an University of Technology, Xi‘an, Shaanxi 710048, China
2. Optical Metrology and Test Center, Shaanxi Institute of Metrology Science, Xi’an, Shaanxi 710065, China
Abstract:In view of the singularity and inefficiency of visual field measurement for protective eyeglasses at present, a visual field measurement method for protective eyeglasses based on computer vision is proposed, and an experimental measurement system is established. A standard head model and two fiber light sources are used to simulate the visual field when the eyes look straight ahead. By comparing the changes of the projection area before and after wearing eyeglasses, the qualification of the visual field of the eyeglasses can be determined quickly. The projection image of the measured eyeglasses is analyzed, then the outline information of the eyeglasses is clustered and extracted. The visual field is calculated according to the angle relationship between the pupil and the eyeglasses. The experimental results show that the method has the characteristics of high efficiency and intelligence compared with traditional methods. It only takes 10 second to determine qualification of the visual field of an eyeglasses. The error analysis of the measurement system is carried out and the final extended uncertainty is U=0.8(k=2). The system meet the practical demand of the visual field detection of protective eyeglasses.
Keywords:metrology  visual field  protective eyeglasses  computer vision  image processing  
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