Earticle

초록

영어

This paper proposes a new algorithm to position the area of a truck’s compartment in images for the intelligent sampling control system. The goal is to identify a truck’s compartment and assure that some works are done inside it. For example, while a mechanical arm automatically snatches goods carried by a truck, we must ensure that the goods must be obtained inside the truck’s compartment. Firstly, the compartment image is acquired by the camera overhead. Secondly, the Canny operator is used to extract the edge of the image, because it is sensitive to the image texture features. Thirdly, the Canny edge image is transformed to the Hough transform space. The peak points in the Hough parameter space indicate the straight lines which may be the elements of the compartment. The straight lines which meet the conditions of the actual size of the compartment make up the area of the compartment. Finally, converting the image coordinate to the physical compartment coordinate. The experiment result shows that the algorithm is effective and the coordinate conversion error analysis indicates that the converting algorithm is workable.

목차

Abstract
 1. Introduction
 2. Sampling Workflows Analysis
 3. Related Algorithms
  3.1. Canny edge detection algorithm
  3.2. Hough transform algorithm
 4. Compartment Positioning Algorithm
  4.1. Algorithm idea
  4.2. Straight line extraction algorithm
  4.3. Vertex extraction algorithm
  4.4. Solving rectangle compartment vertices
 5. Experiment Result
 6. Conversion Error Analysis
  6.1. Converting algorithm
  6.2. Conversion error analysis
 7. Conclusion
 References

키워드

저자

• Ping Xie [ North China Electric Power University, Beijing, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Control and Automation

• 간기

  월간

• pISSN

  2005-4297

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605