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计算机系统应用:2020,29(1):73-79
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基于机器视觉的微型摆轮质量检测系统
(1.杭州师范大学 杭州国际服务工程学院, 杭州 311121;2.杭州手表有限公司, 杭州 310015)
Micro Balance Wheel Quality Inspection System Based on Machine Vision
(1.Hangzhou Institute of Service Engineering, Hangzhou Normal University, Hangzhou 311121, China;2.Hangzhou Watch Co. Ltd., Hangzhou 310015, China)
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投稿时间:2019-06-07    修订日期:2019-07-05
中文摘要: 摆轮在精密仪器设备中经常使用,其平整度与整个仪器的精密准确性密切相关.传统摆轮检测以人工为主,本文提出一种基于机器视觉的摆轮平整度检测系统,先校正摆轮图像,然后提取其亚像素边缘信息,并通过投影映射精确计算边界信息.系统支持连续采样计算,并以摆轮边缘的动态极差作为零件的合格标准.实验结果表明,该方法实时性好,准确率高,可以满足工业检测需求.
Abstract:Balance wheel is commonly used in precision instruments. Its flatness plays an important role in the precision and accuracy of the whole instrument. Traditionally inspection of balance wheel is done manually. This study raises a flatness inspection system for balance wheel based on machine vision. First, the image of balance wheel is calibrated. Second, its sub-pixel edge information is extracted and boundary information is accurately calculated through projection mapping. The system supports continuous sampling and calculation and takes the dynamic range of the edge of the balance wheel as acceptability criteria of parts. The result of the test shows that this method has a satisfied real-time property and high accuracy, so it can meet industrial inspection needs.
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基金项目:国家自然科学基金面上项目(11772301);浙江省自然科学基金(LY17F020016);杭州师范大学第二轮专业学位研究生课程教学案例库建设,工业智能制造项目(横向)
引用文本:
魏东亮,周迪斌,张家瑜,马建峰.基于机器视觉的微型摆轮质量检测系统.计算机系统应用,2020,29(1):73-79
WEI Dong-Liang,ZHOU Di-Bin,ZHANG Jia-Yu,MA Jian-Feng.Micro Balance Wheel Quality Inspection System Based on Machine Vision.COMPUTER SYSTEMS APPLICATIONS,2020,29(1):73-79

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