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Journal of Projectiles, Rockets, Missiles and Guidance >

2019 , Vol. 39 >Issue 5: 111 - 114

DOI: https://doi.org/10.15892/j.cnki.djzdxb.2019.05.026

Image Matching Based on Salp Swarm Algorithm

  • WANG Fei 1 ,
  • JIA Xiaohong 1 ,
  • LI Lijuan 1 ,
  • WANG Zhongyong 2
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  • 1 China Airborne Missile Academy, Henan Luoyang 471009, China
  • 2 School of Information Engineering, Zhengzhou University, Zhengzhou 450001, China

Received date: 2018-10-31

  Online published: 2025-05-12

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Abstract

Traditional swarm intelligence optimization algorithms have the problems such as complex adjustment parameters and low matching precision in the image matching.A novel swarm intelligence optimization algorithm for image matching, Salp Swarm Algorithm (SSA), is introduced to overcome the shortcomings of complex adjustment parameters and low matching precision. Firstly, the fundamental principle of SSA is analyzed. Then, the image matching is transformed into combinatorial optimization problem. Finally, the feature blocks of the image are extracted with HOG feature, the similarity degree of the feature blocks are calculated. Thus, the quickly and steadily global feature matching about target block image is achieved. Simulations show that SSA has high matching precision and matching efficiency. Experimental results show that the proposed algorithm is effective.

Key words： image matching; histogram of oriented gradient; global optima; swarm intelligence optimization algorithm; salp-swarm-algorithm

Cite this article

WANG Fei , JIA Xiaohong , LI Lijuan , WANG Zhongyong . Image Matching Based on Salp Swarm Algorithm[J]. Journal of Projectiles, Rockets, Missiles and Guidance, 2019 , 39(5) : 111 -114 . DOI: 10.15892/j.cnki.djzdxb.2019.05.026

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