Technology of Graphic & Image
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App. Res. of Comp. Printed Article
Vol. 38, 2021 No. 2
619-624

Image segmentation based on joint constraint strategy and sparse representation

Liu Guoqia,b
Dong Yifeia
Li Xushenga
Song Yifana
a. College of Computer & Information Engineering, b. Big Data Engineering Laboratory for Teaching Resources & Assessment of Education Quality, Henan Normal University, Xinxiang Henan 453007, China
DOI: 10.19734/j.issn.1001-3695.2019.09.0640

Abstract

The interactive image segmentation algorithm based on pixel-level is sensitive to initial seed position and noise. However, the image segmentation method only oriented super-pixels is unable to retain image details so that under-segmentation could produce. Aiming at above problems, this paper proposed the segmentation model based on superpixel/pixel constraint and sparse representation. The method firstly defined two mutual constraint cost functions utilized the Gaussian model for super-pixels and pixels respectively. Meanwhile, it introduced constraint condition oriented on sparse decomposition to optimize the proposed model to avoid over-segmentation. Finally, this paper utilized joint optimization method to obtain the solution of the proposed model and estimated the object and background labels to realize object extraction. Experiment results de-monstrate that the proposed method can obtain better segmentation results compared with the state-of-the-art methods and is more robust to noise.

Foundation Support

国家自然科学基金资助项目(U1404603,61901160)
河南省高等学校重点科研资助项目(19A510016)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2019.09.0640
Publish at: Application Research of Computers Printed Article, Vol. 38, 2021 No. 2
Section: Technology of Graphic & Image
Pages: 619-624
Serial Number: 1001-3695(2021)02-059-0619-06

Publish History

[2021-02-05] Printed Article

Cite This Article

刘国奇, 董一飞, 李旭升, 等. 基于联合约束策略和稀疏表示的图像分割 [J]. 计算机应用研究, 2021, 38 (2): 619-624. (Liu Guoqi, Dong Yifei, Li Xusheng, et al. Image segmentation based on joint constraint strategy and sparse representation [J]. Application Research of Computers, 2021, 38 (2): 619-624. )

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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