Technology of Graphic & Image
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3132-3136

Research on multivariate filtering method based on vector similarity

He Xiaojuna
Xu Aigongb
Li Yub
a. College of Innovation & Practice, b. School of Mapping & Geographical Science, Liaoning Technical University, Fuxin Liaoning 123000, China

Abstract

In order to avoid the problem of sorting in color image filtering, this paper proposed a multivariate filter method for color image based on the study of vector similarity. Firstly, in RGB color space, it defined the similarity measure between the color vectors by the distance and the angle to describe the color vector similarity consistent with the human visual perception. Secondly, it designed and constructed the color multivariate filter using the color similarity criterion, and analyzed and studied in depth the influence of the related parameters on the filtering performance. Finally, in order to verify the effectiveness of the proposed method, it was applied to the actual remote sensing image filtering. It can be seen from the experiment that the proposed method not only effectively solves the problem of sorting of the traditional filtering methods, but also overcomes the problems of blurring and unclear edges due to the filtering. In addition, compared with the results of other traditional methods, the results show that the proposed method not only can effectively filter many kinds of noise, but also maintains the original image information better, making the image information clear and fidelity. The visual effect of this filtering method is superior to the traditional, its objective evaluation index also has greatly improved.

Foundation Support

国家自然科学基金资助项目(41271435)
国家自然科学青年基金资助项目(41301479)
辽宁省教育厅资助项目(LJYL012)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.05.0342
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 10
Section: Technology of Graphic & Image
Pages: 3132-3136
Serial Number: 1001-3695(2019)10-056-3132-05

Publish History

[2019-10-05] Printed Article

Cite This Article

何晓军, 徐爱功, 李玉. 基于矢量相似性的多元滤波方法研究 [J]. 计算机应用研究, 2019, 36 (10): 3132-3136. (He Xiaojun, Xu Aigong, Li Yu. Research on multivariate filtering method based on vector similarity [J]. Application Research of Computers, 2019, 36 (10): 3132-3136. )

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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