JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE) ›› 2017, Vol. 47 ›› Issue (2): 80-85.doi: 10.6040/j.issn.1672-3961.0.2016.221

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A visual saliency detection based on background and foreground interaction

ZHAI Jiyou1,2, ZHOU Jingbo1, REN Yongfeng2, WANG Zhijian2   

  1. 1. School of Computer Engineering, Nanjing Institute of Technology, Nanjing 211167, Jiangsu, China;
    2. College of Computer and Information, Hohai University, Nanjing 211100, Jiangsu, China
  • Received:2016-06-21 Online:2017-04-20 Published:2016-06-21

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Abstract: In order to extract the salient region of image efficiently, a new algorithm model of image saliency detection based on background and foreground interaction was proposed. To find the significant elements in the image, a new model using an interactive feature propagation method to diffuse the significant features was built. The image was segmented into superpixels with different parameters. The salient value of each superpixel was obtained by background and foreground interaction according to a single scale. The final saliency map was obtained by the weighted average fusion of multiple salient values in different scale, and the optimization using the smoothing mechanism. Experimental results showed that the proposed method performed better than the other state-of-the-art methods, which improved the adaptability to the size of salient regions. In addition, our method was proved better not only in restraining the noise, but also in making the salient objects more uniform.

Key words: background, foreground, interactive propagation, saliency detection

CLC Number: 

  • TP301.6
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