A METHODOLOGY TO EVALUATE IMPROVE THE PERFORMANCE OF A MACHINE VISION SYSTEM

被引:7
作者
SHIAU, YR
JIANG, BC
机构
[1] Department of Industrial Engineering, Feng-Chia University, Taichung
[2] Department of Industrial Engineering, Auburn University, AL
关键词
D O I
10.1080/00207549308956802
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
In this research, the performance of a machine vision system was evaluated and improved by a series of procedures. By considering the hardware component combinations (HCCs) of a machine vision system, a mathematical model was established to represent the relationship between the theoretical and real outputs. By using the mathematical model established for all possible HCCs, an optimal HCC was determined in the evaluation process. Also, the performance of the machine vision system was improved by a second mathematical model established for the optimal HCC. A two-dimensional (2D) machine vision system was used to verify the methodology proposed in this research. After improvement, the accuracy and the repeatability of the machine vision system were -0-001 and +/-0.002 inch, respectively.
引用
收藏
页码:1467 / 1478
页数:12
相关论文
共 10 条
  • [1] Automated Vision Systems Performance Test Measurement of Relative Position of Target Features in Two-Dimensional Space, (1989)
  • [2] Cowan C.K., Kovesi P.D., Automatic sensor placement from vision task requirements, IEEE Transaction on Pal/Ern Analysis and Machine Intelligence, 10, pp. 407-416, (1988)
  • [3] Draper N.R., Smith H., Applied Regression Analysis, (1981)
  • [4] Jiang B.C., Shiau Y.R., A systematic methodology for determining/optimizing a machine vision system's capability, International Journal of Machine Vision and Applications, 3, pp. 169-182, (1990)
  • [5] Shiau Y.R., A Methodology to Evaluate/Improve the Performance Ofa Machine Vision System, (1991)
  • [6] Shiau Y.R., Jiang B.C., Determine a vision system's 3D coordinate measurement capability using Taguchi methods, International Journal of Production Research, 29, pp. 1101-1122, (1991)
  • [7] Taguchi G., The role of quality engineering (Taguchi methods) in developing automatic flexible manufacturing systems, Proceedingsof 1990 Japan-Usa Symposium on Flexible Automation, Kyoto, 3, pp. 883-885, (1990)
  • [8] Taguchi G., Wu Y., Introduction to Off-Line Quality Control, (1985)
  • [9] Wu Y., Off-Line Quality Control Journal Taipei, Taiwan: Chinese Society for Quality Control, 23, 5, (1985)
  • [10] Yi S., Haralick R.M., Shapiro L.G., Illumination Control Expert: Optimal Sensor and Light, (1990)