期刊文献+

On-line full scan inspection of particle size and shape using digital image processing 被引量:10

On-line full scan inspection of particle size and shape using digital image processing
原文传递
导出
摘要 An on-line full scan inspection system is developed for particle size analysis. A particle image is first obtained through optical line scan technology and is then analyzed using digital image processing. The system is composed of a particle separation module, an image acquisition module, an image processing module, and an electric control module. Experiments are carried out using non-uniform 0.1 mm particles. The main advantage of this system consists of a full analysis of particles without any overlap or miss, thus improving the Area Scan Charge Coupled Device (CCD) acquisition problems. Particle size distribution, roundness, and sphericity can be obtained using the system with a deviation of repeated precision of around ±1%. The developed system is shown to be also convenient and versatile for any particle size and shape for academic and industrial users. An on-line full scan inspection system is developed for particle size analysis. A particle image is first obtained through optical line scan technology and is then analyzed using digital image processing. The system is composed of a particle separation module, an image acquisition module, an image processing module, and an electric control module. Experiments are carried out using non-uniform 0.1 mm particles. The main advantage of this system consists of a full analysis of particles without any overlap or miss, thus improving the Area Scan Charge Coupled Device (CCD) acquisition problems. Particle size distribution, roundness, and sphericity can be obtained using the system with a deviation of repeated precision of around ±1%. The developed system is shown to be also convenient and versatile for any particle size and shape for academic and industrial users.
出处 《Particuology》 SCIE EI CAS CSCD 2010年第3期286-292,共7页 颗粒学报(英文版)
关键词 Particle size distribution Particle characterization Image analysis Line scan CCD Automatic inspection Particle size distribution Particle characterization Image analysis Line scan CCD Automatic inspection
  • 相关文献

参考文献16

  • 1Banta, L., Cheng, K., & Zaniewski, J. (2003). Estimation of limestone particle mass from 2D images. Powder Technology, 132, 184-189.
  • 2Biryukov, S., Faiman, D., & Goldfeld, A. (1999). An optical system for the quantitative study of particulate contamination on solar collector surfaces. 5olaf Energy, 88, 371-378.
  • 3Brzakovic, D., & Vujovic, N. (1992). Designing defect classification system: A cause study. Pattern Recognition, 29, 1401-1419.
  • 4Caron, J., Duvieubourg, L, Orteu, J., & Revolte, J. G. (1997). Automatic inspection system for strip of preweathered zinc. In International conference on applications ofphotonic technology Montr6al, Canada, (pp. 571-576).
  • 5Caron,J., Duvieubourg, L., & Postaire,J. G. (1997). A hyperbolic filter for defect detection in packaging industry. In International conference on quality control and artificial vision Le Creusot, French, (pp. 207-211 ).
  • 6Carter, R. M., &Yan, Y. (2005). Measurement of particle shape using digital imaging techniques.Journal of Physics: Conference Series, 15, 177-182.
  • 7Chou, P. B., Rao, A. R., Sturzenbecker, M. C., Wu, F. Y., & Brecher, V. H. (1997). Automatic defect classification for semiconductor manufacturing. Machine Vision and Applications, 9, 201-214.
  • 8Duda, R. O., & Hart, P. E. (1972). Use of Hough transformation to detect lines and curves in pictures. Communications of the ACM, 15, 11-15.
  • 9Gonzalez, R. C., & Woods, R. E. (2002). Digital image processing (2nd ed.). New Jersey: prentice Hall.
  • 10Krumbein, W. C., & Sloss, L L. C1963). Stratigraphy and sedimentation (2nd ed.). San Francisco: W.H. Freeman and Company.

同被引文献64

引证文献10

二级引证文献48

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部