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논문검색

Corrosion and Deformity Recognition for Current Coin

초록

영어

Current coins often get damaged in the current environment, such as smudginess, discoloration, corrosion, mutilation and attrition. When the damage comes to a certain degree, the continuous use of coins will be impacted. In this paper, relevant identification technologies to mutilation and corrosion which are two common defects in circulation are investigated. At first, an auto identification and quantization algorithm about mutilation area of coin surface, based on Freeman boundary tracing is designed. On the basis of binarization, the algorithm accomplishes boundary tracing and extraction and area calculation automatically after the seed point is determined which is an arbitrary point in extracting mutilation area. Secondly, a clustering method based on HIS color model is developed for auto identification of corrosion area and calculation of corrosion area and average corrosion degree. At last, the validity and practicability of the algorithms are proved by a large number of experimental results.

목차

Abstract
 1. Introduction
 2. Treatment Technology of Coins Surface Defect
 3. Experimental Results and Analysis
 4. Conclusion
 Acknowledgments
 References

저자정보

  • Hongwei Gao College of Automation and Electrical Engineering, Shenyang Ligong University, Shenyang, Liaoning, 110159, P.R. China
  • Yueqiu Jiang College of Automation and Electrical Engineering, Shenyang Ligong University, Shenyang, Liaoning, 110159, P.R. China
  • Yang Yu College of Automation and Electrical Engineering, Shenyang Ligong University, Shenyang, Liaoning, 110159, P.R. China

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