Technology of Graphic & Image
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App. Res. of Comp. Printed Article
Vol. 39, 2022 No. 2
618-622

Research on improved grid-based motion algorithm based on local clustering

Qiu Yunfei
Wang Yuanyuan
School of Software Engineering, Liaoning Technology University, Huludao Liaoning 125105, China
DOI: 10.19734/j.issn.1001-3695.2021.06.0261

Abstract

To solve the problems of low efficiency and poor stability of image matching with angle and scale changes, this paper proposed an improved mesh motion statistical feature point screening algorithm based on local clustering. Firstly, as seed points by local region suppression algorithm could screen feature points with high response intensity and paired appearance, and with seed points as the clustering center to obtain the minimum enclosing rectangle as the moving grid could segment images. Then, it divided the motion grid into 3×3 neighborhood supporting estimator grids, and it could calculate the maximum gradient value of the motion grid in eight directions as the main direction of the motion grid. Finally, it rotated the neighborhood support estimator grid of the image to be matched to the main direction of the target image motion grid, and the mesh motion statistics algorithm usually screened the matches. The experimental results show that the matching accuracy rate of the proposed algorithm is above 90% for matching images with JPEG compression transform, light change and fuzzy transform. For images with rotation and scale transformation, the matching accuracy of the proposed algorithm is about 10% higher than that of the moving grid statistic algorithm, up to more than 70%. The algorithm takes only 13 min and has high efficiency. It shows that the proposed algorithm can screen the correct matching points stably and efficiently.

Foundation Support

国家自然科学基金资助项目(61404069)
辽宁省自然科学基金资助项目(2015020095)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2021.06.0261
Publish at: Application Research of Computers Printed Article, Vol. 39, 2022 No. 2
Section: Technology of Graphic & Image
Pages: 618-622
Serial Number: 1001-3695(2022)02-052-0618-05

Publish History

[2021-12-06] Accepted Paper
[2022-02-05] Printed Article

Cite This Article

邱云飞, 王媛媛. 基于局部聚类的改进运动网格统计算法的研究 [J]. 计算机应用研究, 2022, 39 (2): 618-622. (Qiu Yunfei, Wang Yuanyuan. Research on improved grid-based motion algorithm based on local clustering [J]. Application Research of Computers, 2022, 39 (2): 618-622. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

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