Laser & Optoelectronics Progress, Volume. 55, Issue 12, 121005(2018)

Image Saliency Detection Based on Manifold Regularized Random Walk

Lihua Wang1,2, Zhengzheng Tu2、*, and Zeliang Wang1
Author Affiliations
  • 1 School of Information Engineering, Huangshan University, Huangshan, Anhui 245041, China
  • 2 School of Computer Science and Technology, Anhui University, Hefei, Anhui 230601, China
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    Figures & Tables(9)
    Flow chart of proposed algorithm
    Global graph illustration
    Comparison results between initial saliency maps and final saliency maps. (a) Input images; (b) initial saliency maps; (c) final saliency maps; (d) ground truth
    Local regular graph illustration
    PR curves of proposed method and AMC on three datasets. (a) ASD dataset; (b) SED dataset; (c) MSRA10K dataset
    (a) PR curves and (b) F-measure values of all methods on ASD dataset
    (a) PR curves and (b) F-measure values of all methods on MSRA10K dataset
    (a) PR curves and (b) F-measure values of all methods on SED dataset
    Visual comparisons between all methods
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    Lihua Wang, Zhengzheng Tu, Zeliang Wang. Image Saliency Detection Based on Manifold Regularized Random Walk[J]. Laser & Optoelectronics Progress, 2018, 55(12): 121005

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    Paper Information

    Category: Image Processing

    Received: May. 6, 2018

    Accepted: Jun. 13, 2018

    Published Online: Aug. 1, 2019

    The Author Email: Zhengzheng Tu (zhengzhengahu@163.com)

    DOI:10.3788/LOP55.121005

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