Earticle

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

키워드

저자

• Hongwei Gao [ College of Automation and Electrical Engineering, Shenyang Ligong University, Shenyang, Liaoning, 110159, P.R. China ] Corresponding author
• 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 ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Signal Processing, Image Processing and Pattern Recognition

• 간기

  격월간

• pISSN

  2005-4254

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605