Optics and Precision Engineering, Volume. 20, Issue 12, 2821(2012)
Cooperative measurement method of multi-FOV for machine vision
[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)
[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)
Get Citation
Copy Citation Text
HE Bo-xia, HE Yong, BU Xiong-zhu, SHANG Fei. Cooperative measurement method of multi-FOV for machine vision[J]. Optics and Precision Engineering, 2012, 20(12): 2821
Category:
Received: Aug. 30, 2012
Accepted: --
Published Online: Jan. 7, 2013
The Author Email: Bo-xia HE (heboxia@163.com)