The Study of Image Processing Method Based on OpenCV and USB Industrial Camera

Abstract:

To improve the speed and accuracy of visual detection system, image processing software has been developed. However, it found two problems in the development of the system. The one is OpenCV library function can't directly obtain video data flow from the USB industrial cameras with non-V4L interface on the Linux platform. The other one is the IplImage structure images can't immediately be showed in Qt control. Based on these problems, this paper proposes a new solution, the shared-streams method, and offers the program codes to implement this method. Finally, after experiment and contrast, the results indicate that shared-streams approach has a certain feasibility and superiority.

• Periodical: Applied Mechanics and Materials (Volumes 220-223)
• Pages: 2721-2725
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.220-223.2721
• Online since: November 2012
• Authors: Zhen Feng Huang, Hai Ping Chen, Li Li Cheng
• Keywords: Image Processing, Linux, OpenCV, USB Industrial Camera

References

[1] Shan He:A Study of the High Performance Software Architecture of the USB Industrial Camera in Linux Operation System, Xi'an: Xidian University, 2008.

[2] Hui Guo, Guang Chen:Study of video stream data processing based on OpenCV, Microcomputer & Its Applications., vol. 29 no.21 (2010), pp.14-16.

[3] Faming Yin:"Image processing based on OpenCV". Science & Technology Information. (32):220, 2009.

[4] Yu Zhang, Yabo Huang, Jianbin Jiao:Detection Technique for Circular Parts Based on Machine Vision, Computer engineering. vol.34,no.19, pp.185-186,202, (2008).

[5] Gary Bradski, Adrian Kaebler: Learning OpenCV, Tsinghua University Press, (2009).

[6] Ruizhen Liu, Shiqi Yu: OpenCV Course, Bei Hang University Press, 2007.

[7] Rui Guo, Wansheng Zhao, Gang Li: Development Of A CNC Micro-EDM Machine, International Technology and Innovation Conference: Advanced Manufacturing Technology, 2006.2006:705-709

DOI: 10.1049/cp:20060850