[1] [1] LU H,SUN C R,ZHOU M, et al.. Recent applications of optical and computer-vision methods to research for microelectronics assembly reliability ［J］. Optics and Lasers in Engineering, 2010,48(11):1046-1057.

[2] [2] MAR N S S,YARLAGADDA P K D V,FOOKES C. Design and development of automatic visual inspection system for PCB manufacturing ［J］. Robotics and Computer -Integrated Manufacturing, 2011, 27(5): 949-962.

[3] [3] TETI R, JEMIELNIAK K,DONNELL G O, et al.. Advanced monitoring of machining operations ［J］. CIRP Annals-Manufacturing Technology, 2010,59(2):717-739.

[4] [4] KUO W M, CHUANG S F, NIAN C Y, et al.. Precision nano-alignment system using machine vision with motion controlled by piezoelectric motor ［J］. Mechatronics, 2008, 18(1):21-34.

[5] [5] LIU Q M, WANG L SH, CHENG X W, et al.. Image measurement on the tooth shape chain board ［J］. Optical Technique, 2005, 31(6):843-845. (in Chinese)

[6] [6] QUAN Y M, LI SH M. Fast image mosaic method for large-scale workpiece measurement system［J］. Journal of South China University of Technology:Natural Science Edition, 2011, 39(8):60-65. (in Chinese)

[7] [7] HE B X,ZHANG ZH SH, DAI M, et al.. A novel method of machine vision measurement based on sequential partial images［C］. Proceedings of the International Conference on Mechanical Engineering and Mechanics, Wuxi, 2007:561-566.

[8] [8] RAJESH S,JAMES S, SAMUEL D. Integrating a vision system with a coordinate measuring machine to automate the datum alignment process［C］. Proceedings of the ASME International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, Long Beach,2005:655-661.

[9] [9] YOON H S, CHUNG S C. Vision inspection of micro-drilling processes on the machine tool ［J］. Transactions of the North American Manufacturing Research Institute of SME, 2004, 32:391-398.

[10] [10] DUTTA S,DATTA A, DAS C, et al.. Detection of tool condition from the turned surface images using an accurate grey level co-occurrence technique［J］. Precision-Engineering, 2012 36(3): 458-466.

[11] [11] SUN T H,TSENG C C,CHEN M S, et al.. Electric contacts inspection using machine vision ［J］. Image and Vision Computing, 2010,28(6): 890-901.

[12] [12] YU Q F, SHANG Y. Videometrics: Principles and Researches［M］. Beijing: Science Press, 2009. (in Chinese)

[13] [13] NIU X B, LIN Y CH, ZHAO M R, et al.. Study on 2-D image connection and its application in geometrical parameters measurement ［J］. Journal of Tianjin University,2001, 34(3): 396-399. (in Chinese)

[14] [14] HE B X, ZHANG ZH SH, DAI M, et al.. A high-precision dimension measurement method based on sequential partial images ［J］. Opt. Precision Eng.,2008, 16(2): 367-373. (in Chinese)

[15] [15] ZHANG W J, YANG Y L, LI D, et al.. Key algorithms of automatic image measurement system ［J］. Opt. Precision Eng., 2007 15(2): 294-301. (in Chinese)

[16] [16] YE SH H, QIN SH R. Development of modern measuring metrological and instrumental technologies［J］. China Measurement & Test, 2009, 35(2):1-6. (in Chinese)

[17] [17] Department of Engineering and Materials Sciences, National Natural Science Foundation of China. Report of the Development Strategy of Mechanical Engineering Science(2011~2012) ［M］. Beijing: Science Press, 2010. (in Chinese)

[18] [18] AL-KINDI G A, SHIRINZADEH B. Feasibility assessment of vision-based surface roughness parameters acquisition for different types of machined specimens ［J］. Image and Vision Computing, 2009, 27(4):444-458.

[19] [19] ZHOU H, YANG J G, LI P ZH. Image mosaic and measurement technology based on mutual information measure［J］. Journal of Donghua University:Natural Science, 2011, 37(6):761-766. (in Chinese)