Technology of Graphic & Image
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App. Res. of Comp. Printed Article
Vol. 36, 2019 No. 8
2539-2543

Saliency detection based on scatter-shape guidance and optimization function

Liang Lixiang1
Xia Chenxing2
Wang Shengwen3
Zhang Hanling4
1. School of Big Data Engineering, Kaili University, Kaili Guizhou 556011, China
2. College of Computer Science & Engineering, Anhui University of Science & Technology, Huainan Anhui 232001, China
3. School of Mathematics & Information Engineering, Liupanshui Normal University, Liupanshui Guizhou 553004, China
4. College of Computer Science & Electronic Engineering, Hunan University, Changsha 410082, China
DOI: 10.19734/j.issn.1001-3695.2018.03.0188

Abstract

In order to detect saliency object accurately, this paper proposed an efficient framework for saliency detection based on scatter-shape guidance and optimization function. First, it proposed a discriminative similar metric by taking color, spatial and edge information into consideration. Based on similar metric together with background set obtained by removing the foreground noise in the image boundaries with scatter-guided, it constructed a background-based saliency map. In order to improve the quality of detection, this paper introduced the shape completeness and generated the corresponding shape completeness saliency map by measuring the expectation of times of a region which was activated over the hierarchical space. Finally, it achieved the final saliency map by integrating the above both maps jointly into an optimization function. Quantitative experiments on four available datasets ASD, DUT-OMRON and ECSSD demonstrate that the proposed method outperforms other state-of-the-art approaches and detects the salient object which locates at random positions.

Foundation Support

贵州省教育厅青年科技人才成长项目(黔教合KY字［2016］307)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.03.0188
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 8
Section: Technology of Graphic & Image
Pages: 2539-2543
Serial Number: 1001-3695(2019)08-063-2539-05

Publish History

[2019-08-05] Printed Article

Cite This Article

梁丽香, 夏晨星, 王胜文, 等. 基于散度—形状引导和优化函数的显著性目标检测 [J]. 计算机应用研究, 2019, 36 (8): 2539-2543. (Liang Lixiang, Xia Chenxing, Wang Shengwen, et al. Saliency detection based on scatter-shape guidance and optimization function [J]. Application Research of Computers, 2019, 36 (8): 2539-2543. )

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  • 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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