电子摄像式刀具预调测量仪的研究
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摘要
随着机械加工行业的高速发展,数控加工中心已得到广泛应用。刀具预调测量仪(对刀仪)是通过测量刀具的切削点位置、角度和圆弧半径等参数,对刀具进行预调整的测量仪器。要保证数控加工中心的加工精度,刀具预调测量仪是其必备仪器。
     电子摄像式刀具预调测量仪是以计算机视觉检测技术为基础,集光、机、电和精密测量技术为一体的精密测量仪器,具有较高的精度和自动化水平。目前此类产品只有国外厂家生产,国内生产的刀具预调测量仪仍然为光学投影式,人眼瞄准测量、测量速度低等缺点使其不能满足高精度、高效率的要求。本课题“电子摄像式刀具预调测量仪的研究”目的就是开发该仪器。论文主要研究内容和工作如下:
     1.完成了刀具预调测量仪的机械系统、视觉系统和软件系统的设计与实现,并对仪器进行了整机检定,分析了各部分误差来源。仪器精度达到国家标准,经实验多次测试及用户使用验证,仪器工作稳定、性能良好。
     2.对视觉检测中的图像处理技术进行了深入研究,包括图像预处理、边缘检测、轮廓跟踪、刀具类型识别和图像几何参数计算等,并通过实验研究选择合适的图像处理算法。在分析CCD成像特性的基础上,提出了一种对测量图像进行快速亚像素边缘定位算法,该算法具有精度高、速度快的特点。
     3.提出了一种新的二维图像测量系统标定方法,并成功应用在刀具预调测量仪上。这种方法采用单个特征点的靶标件,标定时保持靶标件不动,移动视觉系统并通过光栅尺或双频激光干涉仪测量获得视觉系统的移动距离,从而获得多组标定特征点,求出标定参数。该方法靶标件加工简单,易于实现现场标定。本文对成像系统的畸变进行了研究,提出了分区线性畸变校正的方法。
     4.对图像测量系统的调焦评价函数进行了系统研究,不但从理论上分析了调焦评价函数的灵敏度与被测工件空间频率、聚焦区域大小的关系,还通过实验验证了理论分析的正确性,并根据实验结果确定了刀具预调测量仪的调焦评价方法。
With the rapid development of mechanical fabrication industry, the numerical control processing center has been widely used by manufacturers. The TPMM (Tool Presetting and Measuring Machine) is used to preset tools by measuring the cutting point coordinates, angles, radius parameters of tools. To ensure the processing precision TPMM is crucial in the numerical control processing.
     The TPMM based on CCD imaging founds its technical base on machine vision inspection. It integrates applied optics, electronics technology and precision measurement technology, so that it possesses high precision and automation. Most such commercially available products as TPMM are made by foreign manufacturers, the homemade TPMM are all of optical projection mode carried out by human sight aiming; the optical projection mode suffers from subjective errors and is time consuming, so that precision and efficiency of the measurement are compromised. The project“Research of Tool Presetting and Measuring Machine Based on CCD Imaging”is to develop such an instrument.
     The main research works are listed as follows.
     1. The design and implementation of the mechanical system, the vision system and the software system of the TPMM are accomplished. The overall test of the instrument is performed. The error sources of all kind are analyzed. The precision of the instrument conforms to the national standard. The performance of the TPMM is tested to be high through experiments and custom applications.
     2. This thesis investigates deeply into image processing techniques in image measuring system, which includes: image pre-processing, edge detection, contour tracing, tool identification, characteristic parameter extraction and so on. The algorithms are carefully chosen and optimized through experiments. Based on the analysis of imaging characteristics of CCD, a sub-pixel edge locating algorithm is introduced in this work, and its virtues of high speed and high-accuracy are demonstrated.
     3. This thesis puts forward a new calibration method for two-dimensional image measuring system. Experimental results show that the novel method can improve the precision and efficiency of the TPMM. In this method, a target with single characteristic point is adopted. The target is kept still when calibration is performed,
引文
[1]汪永顺,为什么要使用刀具预调测量仪,工具技术,1995,29(12):43~44
    [2]赵光辉,浅谈建立刀具预调室的作用,机械制造,1990,28(8) :22~23
    [3] http://www.zoller-cn.com/
    [4] http://www.horma.cn/elbo/about.htm/
    [5] http://asia.parlec.com/
    [6] http://www.kelch.de/
    [7] http://www.pwb.ch/
    [8] http://www.tmjj.com/
    [9] http://www.tjze.com/
    [10]王宝光,吴进保,线阵 CCD 器件在刀具测量定位中的应用,天津大学学报,1992(3):132~136
    [11]林玉池,孙旭东,计算机视觉二维刀形检测及刀具预调测量仪系统的研究,电子测量与仪器学报,1998,12(3):45~50
    [12]李东光,景芳盛,计算机视觉二维刀具预调测量仪的研究,制造技术与机床,2001(5):20~22
    [13]张春洋,刘国栋,庄志涛等,光电瞄准式刀具预调仪研究,光电子激光,2005,16(1):45~48
    [14]A.R,Future Direction in Machine Vision,Topical Meeting on Machine Vision, March 1985, WA3-1~WA3-4
    [15]W.A.Perkins, INSPECTOR: A Computer Vision System which Learn to Inspect Parts, IEEE Trans, PAMI-5,584~592
    [16]W.S.Wilson, The role of vision in a dimensional control strategy, Proc. of the Society of Manufacturing Engineers Conf. on Vision Section 7, 1985, 43~55
    [17]M.M.Landman, S.J.Roberton, A flexible industrial system for automated three-dimensional inspection, SPIE, Vol.728,1986,203~209
    [18]屈玉福,视觉坐标测量机三维动态测量技术的研究,博士学位论文,哈尔滨工业大学,2004.6
    [19]Y.Hara, etal, Automatic Inspection System for Printed Circuit Boards, IEEE Trans, on PAMI-5,1983,623~630
    [20]Q.Z.Ye,P.E.Danielsson,Visual Inspection of Printed Circuit Boards Using Connectivity Preserving Shinking, Proc. Of the 8th Int. Conf. on Pattern Recognition,1986:2~4
    [21]S.Hata, etal, Assembled PCB Visual Inspection Machine Using Image Processor with DSP, Proc. IECON:7
    [22]胡亮,线阵 CCD 实现钢板表面缺陷在线检测关键技术及其应用研究,博士学位论文,天津大学,2005.12
    [23]徐科,冷轧带钢表面自动监测系统的研究,钢铁,2000,35(10):63~66
    [24]吴平川,带钢表面缺陷机器视觉识别方法的研究,博士学位论文,哈尔滨工业大学,2000
    [25]应义斌,饶秀勤,赵匀等,机器视觉技术在农产品品质自动识别中的应用研究进展,农业工程学报,2000,16(3):4~7
    [26]冯斌,汪懋华,基于计算机视觉的水果大小检测方法,农业机械学报,2003,34(1):73~75
    [27]李庆中,汪娥华,农业生物模式识别中的计算机视觉技术,中国图像图形学报,1999,4(7):610~616
    [28]应义斌,水果尺寸和面积的机器视觉检测方法研究,浙江大学学报,2000(3):229~232.
    [29]张建平,吴守一,方如明等,烟叶自动分级模型的建立与训练,农业工程学报,1997,(4):179~183
    [30]N.Aleixos, J.Blasco, F.Navarron, E.Molto. Multispectral inspection of citrus in real-time using machine vision and digital signal processofs. Computers and Electronics in Agriculture,2002,33:121~137
    [31]Kumar, A., Pang, G.K.H., Defect detection in textured materials using optimized filters, Systems, Man and Cybernetics, Part B, IEEE Transactions on Volume 32, Issue 5, Oct. 2002:553~570
    [32] Cuenca,S.A.,Camara,A.,New texture descriptor for high-speed Web inspection applications,Image Processing,Proceedings. International Conference on Vol.3,14~17 Sep. 2003 pp:III- 537-40
    [33]崔玉亮,计算机视觉检测技术在二维尺寸检测中的应用,山东矿业学院学报,1997,16(3):284~287
    [34]洪海涛,张守愚,俞朴,复杂零件参数的图像测量方法,机械工艺师,2000,11:22~24
    [35]单越康,卫力,毛谦敏,复杂几何形状零件自动检测,中国计量学院学报,1997,2:38~46
    [36]刘文耀,光电图像处理,北京,电子工业出版社,2002.11
    [37]何斌,马天予,王运坚等,Visual C++ 数字图像处理,北京:人民邮电出版社,2001
    [38]王玉平,蔡元龙,多尺度 B 样条小波边缘检测算子,中国科学(A 辑),1995,25(4):426~437
    [39]张长江,汪晓东,张浩然等,图像边缘检测的二维连续小波变换法,光电工程,2006,33(4):93~96,140
    [40]董卫军,周明全,黎晓等,基于小波分析的边缘检测技术研究,计算机工程与应用,2004,40(25):38~40
    [41]Hueckel.,M.F.,A operator which locates edges in digitized pictures, JACM,1971(18):113~125
    [42]Tababai A.J. and Mitchell,O.E. Edge location to subpixel values in digital imagery. IEEE Trans. On Pami. 1984,6( 2):188~201
    [43]Edward P. Lyvers, Owen Robert Mitchell. Subpixel measurements using a moment-based edge operator. IEEE Trans. On PAMI. 1989(12):1293~1309
    [44]Jensen,K. and Anastassiuo, D. Subpixel edge localization and interpolation of still images. IEEE Trans:Image Processing. 1995(3):285~295
    [45]Kisworo,M. et.al. Modeling edges at subpixel accuracy using the local energy approach. IEEE Trans on PAMI. 1994(4):405~410
    [46]Dyvers Edward P. Sub-pixel measurement using a moment-based edge operator. IEEE Transon PA-MI,1989,11(12):1293~1309
    [47]张洪涛,段发阶,叶声华,一种快速亚像素边缘检测方法研究,计量学报,2002,23(4):263~266
    [48]Y Shan,G. W Boon,Sup-pixel location of edges with non-uniform blurring a finite closed-form approach,Image Vision Computing,2000:1015~1022
    [49]Geoffrey Doughorty,Effect of sub-pixel point spread function of a CT image system,Medical Engineering and Physics, 2000(22):503~507
    [50]王建民,浦昭邦,刘国栋,提高图像测量系统精度的细分算法的研究,光学精密工程,1998(4):44~50
    [51]屈玉福,蒲昭邦,王亚爱,视觉检测系统中亚像素边缘检测技术的对比研究,仪器仪表学报,2003 年第四期增刊:460~462
    [52]Fei-Long Chen, Shianr-When Lin. Subpixel estimation of circle parameters using prthogonal circular detector. Computer Vision and image understanding. 2000:206~221
    [53]Paul H.Eichel and Edward J.Delp. Quantitative analysis of a moment-based edge operator. IEEE Trans. On SMAC. 1990(112):59~65
    [54]Jack Koplowitz. Subpixel accuracy for digitized straight lines. IEEE Trans. On PAMI. 1990:278~279
    [55]Lawrence O Gorman. Sub-pixel Precision of dtraight-edged shapes for registration and measurement. IEEE Trans. On PAMI. 1997(7):746~751
    [56]王建民,浦昭邦,尹继学,空间矩亚像素细分算法的研究,光学技术,1999,4:3~6
    [57]Huertas,A. and Medioni,G. Detection of intensity changes with subpixel accuracy using Laplacian-Gaussian mask. IEEE Trans. On PAMI 1986(5):651~664
    [58]Englander, A. Expanding machine vision gauging with subpixel techniques. Machine Perception. 1987(6):9~18
    [59]李艳,彭嘉雄,基于 D2 样条插值和 LOG 算子的亚像素边缘检测,华中理工大学学报,2000,28(3):77~79
    [60]丁兴号,基于小波变换的亚像素边缘检测,仪器仪表学报,2005,26(8):801-804
    [61]崔继文,谭久彬,基于 Zernike 矩的亚像素边缘定位算法,光学技术,2005,31(5):779~782,785
    [62]张永宏,胡德金,张凯等,基于灰度矩的 CCD 图像亚像素边缘检测算法研究,光学技术,2004,30(6)693~695,698
    [63]丁兴号,邓善熙,基于小波变换的屋脊边缘亚像素检测,哈尔滨工业大学学报,2004,36(11):1480:1482,1530
    [64]于新瑞,王石刚,王高中等,数字图像直线特征的亚像素位置检测,光学技术,2004,30(2):138~141
    [65]李金泉,王建伟,陈善本等,一种改进的 Zernike 正交矩亚像素边缘检测算法,光学技术,2003 年,29(4):500~503
    [66]曲迎东,崔成松,陈善本等,利用 Sobel—Zernike 矩算子白勺快速亚像素边缘检测方法,光电工程,2003,30(5):59~61
    [67]Ohtani, K., Baba, M.A fast edge location measurement with subpixel accuracy using a CCD image. Proceedings of the 18th IEEE Instrumentation and Measurement Technology Conference. Rediscovering Measurement in the Age of Informatics (Cat. No.01CH 37188), 2001, pt. 3, p 2087-92 vol.3
    [68]Liu, Xiangdong,Ehrich,Roger W,Subpixel edge location in binary images using dithering , IEEE Transactions on Pattern Analysis and Machine Intelligence, v 17, n 6, Jun, 1995:629~634
    [70]Venkatachalam, V.,Wasserman, R.M. Comprehensive investigation of subpixel edge detection schemes in metrology , Proceedings of the SPIE - The International Society for Optical Engineering, v 5011, 2003, p 200-11
    [71]Lee, C.K., So, W.C. A fast edge detector with subpixel accuracy , Proceedings of the 1992 International Conference on Industrial Electronics, Control, Instrumentation, and Automation. Power Electronics and Motion Control (Cat. No.92CH3137-7), 1992, p 710-15 vol.2
    [72]王任华,自动对焦算法研究,光电工程,2000,4:11~13
    [73]郭彦珍,邱宗明,李信等,图像测量技术中一种调焦的判别方法,西安理工大学学报,2001,1:40~42
    [74]李庆祥,薛实福,用于显微测量的自动调焦系统,仪器仪表学报,1991,12(1):76~83
    [75]李奇,戴瑞春,数字图像清晰度评价函数研究,光子学报,2002,31(6):736~738
    [76]白立芬,徐敏娴,基于图像处理的显微镜自动调焦方法研究,仪器仪表学报,1999,20(6):612~614
    [77]鲍歌堂,赵辉,陶卫,图像测量技术中几种自动调焦算法的对比分析,上海交通大学学报,2005,39(1):121~125
    [78]王鸿南,钟文,汪静等,图像清晰度评价方法研究,中国图象图形学报:A辑,2004,9(7):828~831
    [79]赵辉,鲍歌堂,陶卫,图像测量中自动调焦函数的实验研究与分析,光学精密工程,2004,12(5): :531~536
    [80]任四刚,李见为,谢利利,基于灰度差分法的自动调焦技术,光电工程,2003,30(2):53~55
    [81]屈玉福,视觉瞄准测头的研究,硕士学位论文,哈尔滨工业大学,2001.7
    [82]J.R.Fienup. Detecting Moving Targets in SAR Imagery by Focusing. IEEE Transactions on Aerospace and Electronic Systems.2001,37 (3):794~809
    [83]Yani zhang, Ying Zhang, Changyun Wen. A New Focus Measure Method Using Monmets.Image and Vision Computing.2000,18:959~965
    [84]胡涛,陈世哲,刘国栋等,大范围自动调焦快速搜索算法,光电子激光,2006,17(4):464~467
    [85]胡涛,陈世哲,刘国栋等,显微视觉系统中自动调焦评价函数的选取,半导体光电,2006,27(2):216~220
    [86]王学影,张洪涛,基于图像处理的 CCD 摄像机自动调焦方法研究,计量技术,2005,8:16~18
    [87]屈玉福,浦昭邦,赵慧洁等,调焦评价函数灵敏度的影响因素分析,光学学报,2005,25(7):902~906
    [88]原育凯,程仕东,裴云天,光学系统离焦对自动调焦评价函数的影响,光电工程,2005,32(12):51~54,58
    [89]王建民,浦昭邦,图像式显微自动调焦,瞄准系统的研究,光学技术,2000,26(5):410~412,417
    [90]Chen, She,Meng, Yonghong,Jin, Gang,Study on the autofocus evaluation function in ellipsometric imaging system Guangxue Xuebao/Acta Optica Sinica, v 25, n 7, July, 2005:923~929
    [91]Wu Xin-Wei,Zhu Zhao-Da,A novel autofocus algorithm based on minimum entropy criteria for SAR images Systems Engineering and Electronics, v 25, n 7, July 2003, p 867-9
    [92]Tsai R.Y. An efficient and accurate camera calibration technique for 3D machine vision. Proc.CVPR'86,NewYork 1986:364~374
    [93]Tsai R.Y. A versatile camera calibration technique for high-accuracy 3D machine vision metrology using off-the-shelf TV camera and lenses. IEEE journal of Robotics and Automation.1987,3( 4):323~334
    [94]李华,吴福朝,胡占义,一种新的线性摄像机自标定方法,计算机学报 2000, 23(11):1121~1129
    [95]雷成,吴福朝,胡占义,一种新的基于主动视觉系统的摄像机自标定方法,计算机学报,2000,23(11):1130~1139
    [96]Richard I.Hartley,Self-Calibration of Stationary Cameras,International Journal of Computer Vision. 1997,22(1):5~23
    [97]Lourdes Agapito, E.Hayman, I.reid. Self-Calibration of Rotating and Zooming Cameras. International Journal of Computer Vision. 2001,45(2):107~127
    [98]杨长江,孙凤梅,胡占义,基于二次曲线的纯旋转摄像机自标定,自动化学报,2001,27(3):310~317
    [99]雷成,吴福朝,胡占义,Kruppa 方程与摄像机自标定,自动化学报,2001,27(5):621~630
    [100]张洪涛,荫罩板计算机视觉检测系统研究,硕士学位论文,天津大学,2002
    [101]王建民,鲁振智,一种新的二维图像测量系统标定方法,哈尔滨工业大学学报,2000,32(3):37~41
    [102]陶闯,林宗坚,摄像系统标定中尺度因子的鲁棒测定,模式识别与人工智能,1995,8(3):248~254
    [103]孙长库,叶声华,激光测量技术,天津:天津大学出版社,2000.7
    [104]王富治,杨平,黄大贵, 基于相机定标与亚像素算法的二维图像测量系统,计算机测量与控制,2005,13(12):1325~1328
    [105]行麦玲,刘贱平,林家明等,大视场短焦距镜头 CCD 摄像系统的畸变校正,光学技术,2003,29(3):377~379
    [106]陈利红,毛剑飞,诸静,CCD 摄像机标定与修正的简便方法,浙江大学学报:工学版,2003,37(4):406~409
    [107]孙宇臣,葛宝臻,牟冰等,采用线性分区方法对三维传感器的标定,光电子激光,2005,16(2):135~139
    [108]李兵,隋连升,基于误差补偿的虚拟网络二维映射标定法,西安交通大学学报,2003,37(3):325~327
    [109]段发阶,张健新,摄象机参数高精度求解方法,光电工程,1998,25(1):61~66
    [110]张健新,段发阶,简便的高精度摄像机标定技术,仪器仪表学报,1999,20(2):193~196
    [111]周富强,邾继贵,杨学友等,CCD 摄像机快速标定技术,光学精密工程,2000,8(1):96~100
    [112]刘征,三目视觉检测技术的研究,硕士学位论文,天津大学,2003.1
    [113]段发阶,胡亮,基于参考像面法的 CCD 摄像机标定新技术,传感技术学报,2006,19(1):166~169
    [114]王锋,周仁魁,杨小许,CCD 摄像机图像中心两种标定方法的应用研究,光子学报,2006,35(2):294~298
    [115]孙长库,魏嵬,张效栋等,CCD 摄像机参数标定实验设计,光电子技术与信息,2005,18(2):43~46
    [116]吕伟涛,陶善昌,CCD 摄像系统光学特性的一种标定方法,光学技术,2001,27(2):109~112,114
    [117]裴明涛,贾云得,基于主动视觉的摄像机线性自标定方法,北京理工大学学报,2006,26(1):27~30,35
    [118]罗瑜林,李世其,尹文生,基于数据拟合的摄像机标定和图像的数值校正,自动化与仪表,2006,21(1):15~18
    [119]张靖,朱大勇,贾晓东,用共线点列标定摄像机镜头畸变,激光技术,2006,30(2):221~224
    [120]陈大志,王颖,张广军,摄像机标定中栅格型标定点的亚像素提取的研究,光学技术,2006,32(1):53~55,58
    [121]朱铮涛,黎绍发,镜头畸变及其校正技术,光学技术,2005,31(1):136~138,141
    [122]廖士中,高培焕,一种光学镜头摄像机图象几何畸变的修正方法,中国图象图形学报:A 辑,2000,7:593~596
    [123]邱茂林,马颂德,李毅,计算机视觉中摄像机定标综述,自动化学报,2000,26(1):43~55
    [124]郁道银,工程光学,北京:机械工业出版社,1998
    [125]段发阶,计算机视觉检测基础理论及应用技术研究,博士学位论文,天津大学,1994
    [126]Tanimoto, S. and Pavlidis, T(1975), A Hierarchial data structure for picture processing, CGIP, Vol 4, P104-109
    [127]刘亚威,杨丹,张小洪,基于空间矩的亚象素边缘定位技术的研究,计算机应用,2003,23(2):47~49
    [128]于起峰,陆宏伟,刘肖琳,基于图像的精密测量与运动测量,科学技术出版社,2002
    [129]宋丽梅,基于单幅实时测量图像三维形貌恢复的研究,博士学位论文,天津大学,2004.4
    [130]边肇棋,张学工,模式识别,北京:清华大学出版社,2000
    [131]章毓晋,图像工程:图像理解与计算机视觉,北京:清华大学出版社,2000
    [132]郑南宁,计算机视觉与模式识别,国防工业出版社,1998
    [133]袁野,摄像机标定方法及边缘检测和轮廓跟踪算法研究,博士学位论文,大连理工大学,2002.3
    [134]J.W.Goodman,傅里叶光学导论,科学技术出版社,1976
    [135]吕乃光,傅里叶光学,机械工业出版社,2006.4
    [136]国家机械工业局,JB/T 7982-1999,刀具预调测量仪精度,1999.5
    [137]国家质量技术监督局,JJG 938-98,刀具预调测量仪检定规程,1998.7
    [138]费业泰,误差理论与数据处理,机械工业出版社,2003

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