Application of Subtraction Technology in Automatic Target-scoring System
Pages 73 - 76
Abstract
In order to reduce the times of changing physical target in shooting training and competition system, count the scores of shots accurately, the bullet hole images of each shot are collected and analyzed, the new bullet holes are count by the subtraction method, dazzle light problems are solved by locally self-adaptive threshold method, hole shape distortion problem is solved with corrosion and expansion method, hole positioning problem is solved by using the inner and outer circle median method. Experimental results show that these methods can obtain higher accuracy and image quality.
References
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Rudzinski, J., and Luckner, M. S.2012. Low-Cost Computer Vision Based Automatic Scoring of Shooting Targets. In International Conference on Knowledge-Based and Intelligent Information and Engineering Systems(San Sebastian, Spain, September 10-12, 2012)Springer, Berlin, Heidelberg, 185--195, DOI= 10.1007/978-3-642-37343-5_19
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Pitas, I. 2000.Digital image processing algorithms and applications. John Wiley & Sons.
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Shao, Y., Zhang L., Wu, G.2000, August. The visual detection of bullet holes in a target.5th International Conference on Signal Processing Proceedings. 16th World Computer Congress 2000( Beijing, China, 21-25 Aug, 2000), IEEE. 914--917, DOI= 10.1109/ICOSP.2000.891669
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Ding, P., Zhang, X., Fan, X., and Cheng, Q. 2009.Design of automatic target-scoring system of shooting game based on computer vision. In 2009 IEEE International Conference on Automation and Logistics(Shenyang, China, 5-7 Aug. 2009). IEEE, 825--830, DOI=10.1109/ICAL.2009.5262810
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Index Terms
- Application of Subtraction Technology in Automatic Target-scoring System
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Published In
February 2020
172 pages
ISBN:9781450377201
DOI:10.1145/3383812
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- Nanyang Technological University
- UNIBO: University of Bologna
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 25 March 2020
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ICIGP 2020
ICIGP 2020: 2020 3rd International Conference on Image and Graphics Processing
February 8 - 10, 2020
Singapore, Singapore
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