Earticle

초록

영어

The Hough Transform algorithm based on RPSO (Reduced Particle Swarm Optimization) is widely used in image detection. But it has several defects, such as being apt to plunge a local extremum and low target detection precision. In order to overcome these defects of the original algorithm, an improved algorithm, which is updated with the mechanism of SA (simulated annealing), is presented in this paper. In the improved algorithm, the output parameters of the Hough Transform was regarded as particle positions, and the opposite value of accumulation array in Hough Transform was employed as a fitness function of RPSO algorithm. Because the mechanism of the SA was involved, the velocities and positions of the particles are updated in real-time in the process of the crossover and Gaussian mutation. Consequently, the ability of converging to global optimum solution is obviously improved. Then, the comparison and analysis of the experiment results between the original algorithm and the improved one have been carried out in the application of the train wheel image detection. The experiment results demonstrate that the accuracy of image detection is evidently increased and the evolution speed is significantly boosted in the proposed algorithm, especially as the image has complex background or high level noise.

목차

Abstract
 1. Introduction
 2. Principle and Defect of the Hough Transform Algorithm Based on RPSO
  2.1. Principle of the Original Algorithm
  2.2. Limitation of the Hough Transform Algorithm Based on RPSO
 3. The Improved Hough Transform Algorithm Based on RPSO
  3.1. Principle of the Improved Algorithm
  3.2. The Module of Crossover and Mutation
  3.3. Principle for the Module of Simulated Annealing
 4. Experiment Results Comparison Between the Original Algorithmand the Improved One
 5. Conclusions
 References

키워드

저자

• Zengqiang Ma [ School of Electrical and Electronics Engineering, Shijiazhuang Tiedao University, Shijiazhuang, China ]
• Xiaoyun Liu [ School of Electrical and Electronics Engineering, Shijiazhuang Tiedao University, Shijiazhuang, China ]
• Zheng Liu [ School of Electrical and Electronics Engineering, Shijiazhuang Tiedao University, Shijiazhuang, China ]
• Sha Zhong [ School of Electrical and Electronics Engineering, Shijiazhuang Tiedao University, Shijiazhuang, China ]
• Yusi Zhang [ School of Electrical and Electronics Engineering, Shijiazhuang Tiedao University, Shijiazhuang, China / Department of Electrical and Information Engineering, Hebei Jiaotong Vocational and Technical College, Shijiazhuang, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Multimedia and Ubiquitous Engineering

• 간기

  월간

• pISSN

  1975-0080

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605