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1. 厦门大学 机电工程系,福建 厦门,361005
2. 厦门钨业股份有限公司,福建 厦门,361005
收稿日期:2011-12-02,
修回日期:2011-12-29,
网络出版日期:2012-04-22,
纸质出版日期:2012-04-22
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王磊, 郭淑霞, 张凤玲, 冯彬, 张建城. 微型铣刀外径视觉测量的不确定度[J]. 光学精密工程, 2012,(4): 880-887
WANG Lei, GUO Shu-xia, ZHANG Feng-ling, FENG Bin, ZHANG Jian-cheng. Uncertainty in vision based diameter measurement of mini milling cutter[J]. Editorial Office of Optics and Precision Engineering, 2012,(4): 880-887
王磊, 郭淑霞, 张凤玲, 冯彬, 张建城. 微型铣刀外径视觉测量的不确定度[J]. 光学精密工程, 2012,(4): 880-887 DOI: 10.3788/OPE.20122004.0880.
WANG Lei, GUO Shu-xia, ZHANG Feng-ling, FENG Bin, ZHANG Jian-cheng. Uncertainty in vision based diameter measurement of mini milling cutter[J]. Editorial Office of Optics and Precision Engineering, 2012,(4): 880-887 DOI: 10.3788/OPE.20122004.0880.
建立了基于机器视觉的测量系统
实现了微型铣刀外径的在线测量
并对测量不确定度进行了分析。测量系统由背光源、夹头与旋转平台、旋转编码器、摄像机和相应的测量软件组成。系统运行时
铣刀匀速旋转
由旋转编码器触发相机对其进行采样拍照并完成测量。从照明光源平行性、摄像机的镜头畸变与CCD噪声、调焦效果、待测物体表面几何特性、算法设计5个方面分析了测量结果不确定度来源及其影响。实验表明
当系统采样率不足时
对于铣刀外径测量不确定度影响最大的是待测物体表面几何特性;在采样率足够大的情况下
外径测量不确定度主要由光源平行性确定。本文系统采样率为33 frame/circle
系统测量不确定度为4 m
可满足生产要求。
A machine vision system is proposed to measure the diameter of a mini milling cutter on line
and the measurement uncertainty is analyzed in this paper. The system consists of a back-light source
a rotate stage
a rotary encoder
a camera and corresponding software. While the milling cutter rotates
the camera is triggered by the rotary encoder and a series of images are captured. The sources of uncertainty and their effects are analyzed
including the parallelism of the light source
lens distortion
CCD noise
focusing situation
the geometric properties of tested objects and the algorithm design. According to results of experiments
the uncertainty mainly depends on the geometric property of the tested object when sampling rate is not enough
otherwise
it is mainly relative to the parallelism of the light source. In the experiment performed
the system uncertainty is 4 m with a sampling rate of 33 frame/circle
both accuracy and efficiency meet the requirement of manufacturing.
CARSTEN S, MARKUS U. 机器视觉算法与应用[M]. 北京:清华大学出版社,2009. CARSTEN S, MARKUS U. Machine Vision Algorithms and Application [M]. Beijing: Hsinghua University Publishing, 2009. (in Chinese)[2] ANDERS R, ANNA-KARIN C, KENNETH E. Accuracy investigation of a vision based system for pose measurements [J]. Control, Automation, Robotics and Vision, 2006,5-8:1-6.[3] LIU M L,LI K J,CAI H M, et al.. Vision measurement method for impact point in large planarregion[J]. Intelligent Control and Information Processing (ICICIP), 2010,13-15:379-83.[4] WANG X J, GAO J, WANG L, et al.. Robust processing method for rotationally symmetric triangulation sensor [J]. Chinese Journal of Scientific Instrument, 2007, 28(2):203-211.[5] 伍济钢,宾鸿赞. 机器视觉的薄片零件尺寸检测系统[J]. 光学 精密工程,2007,15(1):124-130. WU J G, BIN H Z. Dimensional inspecting system of thin sheet parts based on machine vision[J]. Opt. Precision Eng., 2007,15(1):124-130. (in Chinese)[6] AGGARWAL C C, YU P S. A survey of uncertain data algorithms and applications [J]. IEEE Transactions on Knowledge and Data Engineering, 2009,21(5):609-623.[7] 彭宇,罗清华,彭喜元. 网络化测试体系中不确定性数据处理方法浅析[J]. 仪器仪表学报,2010,31(1):229-240. PENG Y, LUO Q H, PENG X Y. Analysis of uncertain data processing methods in networking test framework [J]. Chinese Journal of Scientific Instrument, 2010,31(1):229-240. (in Chinese)[8] 彭宇,罗清华,彭喜元. UIDK-means:多维不确定性测量数据聚类算法[J]. 仪器仪表学报,2011,32(1):1201-1207. PENG Y, LUO Q H, PENG X Y. UIDK-means: A mnlti-dimensional uncertain measurement data clustering algorithm [J]. Chinese Journal of Scientific Instrument, 2011,32(1):1201-1207. (in Chinese)[9] LIU ZH M, LIU F. Evaluation and expression of uncertainty in measurement[J]. China Academic Journal Electronic Publishing House, 1996(2):96-99.[10] RAFAEL C C, RICHARD E W. 数字图像处理[M]. 2版. 北京:电子工业出版社, 2009. RAFAEL C C, RICHARD E W. Digital Image Processing[M]. 2nd ed.Beijing:Publishing House of Electronics Industry, 2009. (in Chinese)[11] ZHAO L P, LI X, FANG ZH P. 塑料眼镜内外缺陷检测的全内反射照明技术[J]. 光学 精密工程, 2011,19(9):2247-2254. ZHAO L P, LI X, FANG ZH P. TIR illumination technology for defect inspection of plastic ophthalmic lens[J]. Opt. Precision Eng., 2011,19(9):2247-2254. (in Chinese)[12] KIM A. Cramér-Rao lower bounds on the performance of charge-coupled-device optical position estimators[J]. Journal of the Optical Society of America, 1986,3(11):1809-1815.[13] BRUCE R H, ROBERT C S, THOMAS J, et al.. CMOS active pixel sensor specific performance effects on star trackernmager position accuracy[J]. SPIE, 2001, 4284:43-53.[14] WANG L, GAO J, WANG X J, et al.. Fundamental uncertainty in rotationally symmetric and anamorphic laser triangulation[J]. Chinese Journal of Electronics, 2008,17(1):8-11.[15] WANG L, GAO J, WANG X J, et al.. Eccentric error and compensation in rotationally symmetric laser triangulation[J]. Chinese Journal of Scientific Instrument, 2007,28(9):1548-1553.[16] HEALEY G E,KONDEPUDY R. Radiometric CCD camera calibration and noise estimation[J]. IEEE Trans. Pattern Anal. Mach. Intell, 1994,16(3):267-276. [17] WU Q,CHI Y B,WANG ZH Y. CCD noise effect on data transmission efficiency of onboard lossless-compressed remote sensing images[J]. Information Engineering and Computer Science, 2009,19-20:1-4.[18] 贺忠海,王宝光,廖怡白. 理想边缘产生方法的研究[J]. 光学 精密工程, 2002, 10(1):89-93. HE ZH H,WANG B G, LIAO Y B. Study of method for generating ideal edges[J]. Opt. Precision Eng., 2002,10(1):89-93.(in Chinese)
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