Earticle

초록

영어

Security checks at airport are of importance to any safe flight. Traditional method for security check is to check the luggage manually. However, this method needs lots of human labor and time. It is desired to automatically check x-ray image of the luggage with computer vision. In this paper, the illegal object classification system is implemented. First, we introduce a computer vision based x-ray inspection system for Illegal object classification. Then we propose a method by combining Taruma feature based on Contourlet transform and histogram. Finally, we apply the random forests classifier to classify these features from the illegal objects. Experimental results show that the proposed method can effectively distinguish different kinds of illegal objects.

목차

Abstract
 1. Introduction
 2. Computer Vision Based X-ray Inspection System
 3. Feature Extraction
  3.1. Contourlet Transform
  3.2. Tamura Texture Features
  3.3. Image Histogram
 4. Classification
 5. Experimental Results
 6. Summary
 References

키워드

저자

• Yu Wang [ Aviation Engineering Institute, Civil Aviation Flight University of China, Guanghan, Sichuan, P. R. China ]
• Xiaomin Yang [ School of Electronics and Information Engineering, Sichuan University, Chengdu, Sichuan, P.R.China ] Corresponding Author
• Wei Wu [ School of Electronics and Information Engineering, Sichuan University, Chengdu, Sichuan, P.R.China ]
• Bingshan Su [ School of Electronics and Information Engineering, Sichuan University, Chengdu, Sichuan, P.R.China ]
• Gwanggil Jeon [ Department of Embedded Systems Engineering, University of Incheon, Republic of Korea ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Security and Its Applications

• 간기

  격월간

• pISSN

  1738-9976

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605