• Laser & Optoelectronics Progress
  • Vol. 56, Issue 12, 121006 (2019)
Yikang Jin* and Fengqin Yu
Author Affiliations
  • College of Internet of Things, Jiangnan University, Wuxi, Jiangsu 214122, China
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    DOI: 10.3788/LOP56.121006 Cite this Article Set citation alerts
    Yikang Jin, Fengqin Yu. Saliency Detection Based on Background Continuity Priori Knowledge[J]. Laser & Optoelectronics Progress, 2019, 56(12): 121006 Copy Citation Text show less
    Typical local areas in image
    Fig. 1. Typical local areas in image
    Shortest path among super-pixels
    Fig. 2. Shortest path among super-pixels
    Each stage for calculating foreground weight of each super-pixel of image based on background continuity. (a) Original image; (b) SLIC segmentation; (c) foreground weight before correction; (d) foreground weight after correction
    Fig. 3. Each stage for calculating foreground weight of each super-pixel of image based on background continuity. (a) Original image; (b) SLIC segmentation; (c) foreground weight before correction; (d) foreground weight after correction
    Partial saliency detection results of each method on ASD dataset
    Fig. 4. Partial saliency detection results of each method on ASD dataset
    PR curves and MAEs on three datasets. (a)(b) ASD; (c)(d) PASCAL-S; (e)(f) ECSSD
    Fig. 5. PR curves and MAEs on three datasets. (a)(b) ASD; (c)(d) PASCAL-S; (e)(f) ECSSD
    Comparison of different methods on three datasets. (a) ASD; (b) PASCAL-S; (c) ECSSD
    Fig. 6. Comparison of different methods on three datasets. (a) ASD; (b) PASCAL-S; (c) ECSSD
    Comparison of saliency results for image processed by three methods. (a) Original image; (b) based on global contrast; (c) based on local contrast; (d) based on background continuity
    Fig. 7. Comparison of saliency results for image processed by three methods. (a) Original image; (b) based on global contrast; (c) based on local contrast; (d) based on background continuity
    EvaluationindexLocalcontrastGlobalcontrastBackgroundcontinuity
    Precision0.86080.74580.8476
    Recall0.54050.69550.7411
    Fβ0.75720.73360.8204
    Table 1. Comparison of all index values obtained by three methods on ASD dataset
    MethodSF[13]GS[8]MR[9]SO[10]Ours
    Running time /s0.2650.2690.2700.3190.937
    Table 2. Comparison of running time for different methods
    Yikang Jin, Fengqin Yu. Saliency Detection Based on Background Continuity Priori Knowledge[J]. Laser & Optoelectronics Progress, 2019, 56(12): 121006
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