Earticle

초록

영어

With the aggravation of terrorist activities and frequent occuring of all kinds of car bomb attacks, social and public safety issues have become the focus of attention of the whole world. The vehicle chassis foreign body detection system developed in this paper is mainly used in all kinds of important occasions, to achieve real-time and safe detection of vehicles which is helpful to protect the lives and property of citizens, and to block the invasion and transimission of drugs and other harmful substances. Traditional vehicle chassis detection is carried out by security personnel with dedicated portable underbody detection tool, which is time-consuming, laborious and ineffective. In this paper, we construct a intelligent vehicle chassis image detection system. However, there is always distortion in the real time vehicle chassis image captured by multi-line CCD array which therefore needs to be corrected. This paper presents an image correction method for multi linear CCD. Firstly, Sobel differential operator is used to detect the binarized image of the edge of the vehicle chassis on horizontal and vertical directions. Secondly, we use Radon transform to detect angle of inclination of traveling distorted image captured by line scan cameras based on the results of edge detection, using shear transformation to correct binarized chassis image. Finally, a standard chassis image can be obtained based on image interpolation, the characteristic of Sobel operator and recapture the image. Experimental results show that this proposed method is simple and insensitive of stains and light. In addition, a standard chassis image can be obtained after completing the distortion correction.

목차

Abstract
 1. Introduction
 2. The General Framwork of the Proposed Method
 3. Edge Detection
 4. Sobel Algorithm
  4.1. Calculate the Inclination Angle of the Distortion Image
  4.2. Shear Transformation Image Correction
 5. Image Reacquisition Algorithm
  5.1. Adaptive Image Scaling Algorithm Based on Sobel Operator
 6. Distortion Correction Analysis
 7. Conclusion
 References

키워드

저자

• Hanfei Kuang [ College of Information Engineering, Henan University of Science and Technology, China ]
• Jiexin Pu [ College of Information Engineering, Henan University of Science and Technology, China ]
• Lei Zhang [ College of Information Engineering, Henan University of Science and Technology, China ]
• Zhonghua Liu [ College of Information Engineering, Henan University of Science and Technology, China ]
• Bo Peng [ College of Information Engineering, Henan University of Science and Technology, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Future Generation Communication and Networking

• 간기

  격월간

• pISSN

  2233-7857

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605