The Impact Point Detecting System for Photo-Electricity Targets

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Abstract:

according to the requirement of shooting training, the impact point detecting system of photo-electricity target is designed based on laser coordinate orientation method. The principle of detection method based on image process is firstly discussed, then the system design and image processing arithmetic is also detailed, at last the simulation experiment is done, and the result shows that the designed system is stabilized and can reach accurate and reliable detecting and displaying for scoring ring number.

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Periodical:

Advanced Materials Research (Volumes 756-759)

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399-402

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Online since:

September 2013

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© 2013 Trans Tech Publications Ltd. All Rights Reserved

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[1] QIU Chao-fan, CHEN Ming, WANG Zhuo-zhu, et al. Signal collecting of the target report System based on CPLD [J]. Automatic Measurement and Control, 2007, Vol. 26, No. 5: 81-84.

Google Scholar

[2] ZHANG Mingxi. Realization on laser coordinates orientation method in automatic scoring round target system [J]. Computer Engineering, 2004, Vol. 30: 527-529.

Google Scholar

[3] Huang Sheng. Design and realization of the automated target report instrumentation [J]. Journal of Data Acquisition & Processing, 1997, Vol. 12, No. 2: 155-158.

Google Scholar

[4] Zhan Yanmou, Wang Zhuozhu, Sun Jihong, et al. Design and implementation of an automatic target record system [J]. Electronic measurement technology, 2008, Vol. 31, No. 5: 1-3.

Google Scholar

[5] Carey Johnson, Robert VanAllen, Mike Dimmier, James Dillow. Design & Development of an Acquisition, Tracking, Pointing & Fire Control System[C]. Proceedings of SPIE, the International Society for Optical Engineering, 1999, vol. 3706, pp.288-295.

DOI: 10.1117/12.356968

Google Scholar

[6] Kyeong-Sik Min, Thanh-Ngon Tran, Chul-Keun Park. Combination of space and time adaptive mean filters for noise reduction in antenna measurement[C]. Asia-Pacific Microwave Conference Proceedings (APMC2005), Suzhou, China, 2005, vol. 5, pages: 4.

DOI: 10.1109/apmc.2005.1606997

Google Scholar

[7] Murthy C A, Pal S K. Histogram thresholding by minimizing graylevel fuzziness [J]. Information Science, 1992, 60: 107-135.

DOI: 10.1016/0020-0255(92)90007-u

Google Scholar

[8] Shortis M R, Clarke T A, Short T. A comparison of some techniques for the subpixel location of discrete target images, Videometrics III[C]. SPIE, Boston, 1994, vol. 2350. pp.239-250.

DOI: 10.1117/12.189136

Google Scholar