|
|
Research of Two Vision Accurate Measuring Method of Elastomers Conduction Band Groove Width |
LIN Di,ZENG Zhi-qiang,WANG Jun-yuan,LI Xu,TANG Heng |
College of Mechanical and Power Engineering, North University of China, Taiyuan, Shanxi 030051, China |
|
|
Abstract For industrial inspection speed and accuracy requirements of elastomers conduction band width, the use of industrial cameras, lenses, computers and professional image processing software to build a set of machine vision systems and design a elastomer for the conduction band of the shallow groove width measurement device based on the image processing algorithms. Firstly, using the standard part to calibrate measurement system, the calibration values of the imaging system is calculated. Then the two visual measurement method are used to measure the upper and lower groove width of the 16 elastomers conduction band, and the groove width is calculated by corresponding calculation. Finally the actual measured values of the 16 parts and the three coordinate measuring results are compared. The results show that the measurement accuracy of the system can reach to micron level, which can meet the requirements of the measurement accuracy of elastomers conduction band width, and the measurement results are not influenced by the subjective factors.
|
Received: 27 August 2015
Published: 28 February 2017
|
|
Corresponding Authors:
Di LIN
E-mail: 1432684885@qq.com
|
|
|
|
[1]耿欣,张福民.计算机图像技术在高温锻件尺寸测量中的应用[J].计量学报,2014,35(1):13-17.
[2]曾志强,祝锡晶,王俊元,等. 基于LabVIEW的药筒梯形槽宽视觉精确测量研究[J]. 计算机工程与应用,2015,51(9):173-175.
[3]Park J B, Lee J G, Lee M K, et al. A Glass Thickness Measuring System Using the Machine Vision Method[J].International Journal of Precision Engineering and Manufacturing, 2011,12(5):769-774.
[4]肖雄,王俊元,曾志强,等. 基于CMOS机器视觉的尺寸测量系统性能研究[J]. 机械科学与技术,2013,32(12):1789-1791.
[5]李红钢.基于机器视觉的某型药筒零件难测量尺寸测量系统研究[D].太原:中北大学,2014.
[6]李洪均,赵志敏,魏本征,等.图像噪声方差大小的测量新算法[J].计量学报,2012,33(2):121-125.
[7]Ali M H, Kurokawa S, Uesugi K. Application of machine vision in improving safety and reliability for gear profile measurement[J]. Machine Vision and Applications, 2014,25(6):1549-1559.
[8]Theo P, The challenge of general machine vision[J]. Signal Image and Video Processing, 2014,8(1):191-195.
[9]左勇,束小梅,李伟.基于视觉检测和图像处理技术的压痕直径自动测量方法研究[J].计量学报,2010,31(z2):148-152.
[10]汪涛,李建双,成英淑,等.数字图像处理在线纹标准器自动检测中的应用[J].计量学报,2010,31(z2):165-168.
|
|
|
|