Open Access
| Issue |
MATEC Web Conf.
Volume 355, 2022
2021 International Conference on Physics, Computing and Mathematical (ICPCM2021)
|
|
|---|---|---|
| Article Number | 03013 | |
| Number of page(s) | 8 | |
| Section | Computing Methods and Computer Application | |
| DOI | https://doi.org/10.1051/matecconf/202235503013 | |
| Published online | 12 January 2022 | |
- Z. Yuan, X. Wang, “Precision and Ultraprecision Machining Technology. 3rd Edition,” China Machine Press, 2016. [Google Scholar]
- Q. Hou. “Investigation on the technology of tool wear detection based on machine vision,” Shandong University, 2018. [Google Scholar]
- Y. You, T. Liu, J. Liu, “Survey of the auto-focus methods based on image processing,”. Laser & Infrared, vol.43, pp.132-136,2013. [Google Scholar]
- Wang Jian. “Study on technology of auto-focus based on image processing,” Graduate School of Chinese Academy of Sciences (Institute of Optics and Electronics), 2013.Another reference [Google Scholar]
- Y, Zhai, D. Zhou, Y. Liu, S. Liu. K. Peng, “Design of evaluation index for auto-focusing function and optimal function selection,”. Acta optica Sinica,vol.31, pp.234-244,2011. [Google Scholar]
- Y. Hong, G. Ren, J. Sun. “Analysis and improvement on sharpness evaluation function of defocused image,” Optics and Precision Engineering, vol.22, pp.3401-3408,2011. [Google Scholar]
- Gonzalez R C, Woods R E. Digital Image Processing (3rd Ed.). 2007. [Google Scholar]
- Q. Li, H. Feng, Z. Xu, M. Bian, S. Shen, R. Dai, “Study on the sharpness evaluation function of digital image,” Acta PHOTONICA Sinica, vol.31, pp.736-738,2002. [Google Scholar]
- X. Zheng, L. Ai, K. Liu, B. Su. “Auto-Focusing function for microscopic images based on global and local gray-scale variation,” Laser & Optoelectronics Progress, vol.54, pp.246-253,2017. [Google Scholar]
- Shannon C E. A mathematical theory of communication. Bell Labs Technical Journal, vol.27, pp.379-423,1948. [Google Scholar]
- X. Cao, Z, Zhang. “Information theory and coding (2nd Edition),” Beijing: Tsinghua University Press, 2009. [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.