Technology of Graphic & Image
|
1215-1220

Multi-threshold image segmentation based on improved sine cosine optimization algorithm

Lang Chunbo
Jia Heming
Xing Zhikai
Peng Xiaoxu
Li Jinduo
Kang Lifei
College of Mechanical & Electrical Engineering, Northeast Forestry University, Harbin 150040, China

Abstract

Aiming at the problem of the computational complexity and low segmentation precision of the multi-threshold image segmentation method, this paper proposed an ISCA based multi-threshold image segmentation method. Firstly, this method used a chaotic initialization technique to improve the quality of initial population. Secondly, it introduced an adaptive strategy to adjust the parameters according to the fitness values. Finally, it utilized an opposition-based learning strategy, then selected the better particles. The results of the Berkeley image and the plant canopy image segmentation experiments show that this method has a satisfied performance in terms of running time and segmentation accuracy. And it has a strong robustness.

Foundation Support

中央高校基本科研业务费专项资金资助项目(2572019BF04)
国家自然科学基金资助项目(51609048)
黑龙江省研究生教育创新工程项目(JGXM_HLJ_2016014)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.10.0779
Publish at: Application Research of Computers Printed Article, Vol. 37, 2020 No. 4
Section: Technology of Graphic & Image
Pages: 1215-1220
Serial Number: 1001-3695(2020)04-055-1215-06

Publish History

[2020-04-05] Printed Article

Cite This Article

郎春博, 贾鹤鸣, 邢致恺, 等. 基于改进正余弦优化算法的多阈值图像分割 [J]. 计算机应用研究, 2020, 37 (4): 1215-1220. (Lang Chunbo, Jia Heming, Xing Zhikai, et al. Multi-threshold image segmentation based on improved sine cosine optimization algorithm [J]. Application Research of Computers, 2020, 37 (4): 1215-1220. )

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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