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Proceedings Paper

Structure extraction and region contrast based salient object detection
Author(s): Qing Zhang; Jiajun Lin; Zhigang Xie
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Paper Abstract

In this paper, we propose a novel salient object detection approach, which aims in suppressing distractions caused by the small scale pattern in the background and foreground. First, we employ a structure extraction algorithm as a preprocessing step to smooth the textures, eliminate high frequency components and retain the image’s main structure information. Second, we segment the texture maps are computed and fused according to the color contrast and center prior cues. To better exploit each pixel’s color and position information, we refine the fused saliency map. Experiments on two popular benchmark datasets demonstrate that our proposed approach achieves state-of-the-art performance compared with sixteen other state-of-the-art methods in terms of three popular evaluation measures, i.e., Precision and Recall curve, Area Under ROC Curve and F-measure value.

Paper Details

Date Published: 29 August 2016
PDF: 8 pages
Proc. SPIE 10033, Eighth International Conference on Digital Image Processing (ICDIP 2016), 100330K (29 August 2016); doi: 10.1117/12.2244930
Show Author Affiliations
Qing Zhang, Shanghai Institute of Technology (China)
Jiajun Lin, East China Univ. of Science and Technology (China)
Zhigang Xie, Chengdu Watertek Information Technology Co., Ltd. (China)


Published in SPIE Proceedings Vol. 10033:
Eighth International Conference on Digital Image Processing (ICDIP 2016)
Charles M. Falco; Xudong Jiang, Editor(s)

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