Laser & Optoelectronics Progress, Volume. 57, Issue 10, 101019(2020)
Saliency Object Detection Method Based on Complex Prior Knowledge
Figures & Tables(8)
Fig. 2. Background set results at various stages. (a) Original image; (b) primary background set; (c) optimized background set
Fig. 3. Center prior results of each stage. (a) Original image; (b) traditional center prior image; (c) proposed center prior image
Fig. 4. Experimental comparison diagrams. (a) Original image; (b) SR algorithm; (c) HFT algorithm; (d) LRR algorithm; (e) MR algorithm; (f) BM algorithm; (g) RBD algorithm; (h) GS algorithm; (i) BFS algorithm; (j) proposed method; (k) GT
Fig. 6. F-measure values on MSRA and ESSCD datasets by different algorithms. (a) MSRA; (b) ESSCD
Table 1. Comparison of MAE on MSRA and ESSCD datasets
View tableTable 1. Comparison of MAE on MSRA and ESSCD datasets
Dataset SR HFT LRR MR BM RBD GS BFS Ours MSRA 0.2419 0.2086 0.2203 0.1223 0.1923 0.1037 0.1667 0.1740 0.1382 ESSCD 0.2527 0.2178 0.2480 0.1423 0.2483 0.1317 0.1956 0.1780 0.1750
Table 2. Comparison of running time on MSRA and ESSCD datasetsunit: s
View tableTable 2. Comparison of running time on MSRA and ESSCD datasetsunit: s
Dataset SR HFT LRR MR BM RBD GS BFS Ours MSRA 0.0770 1.2197 8.1386 0.4535 0.5351 0.1273 0.1199 3.6687 0.7361 ESSCD 0.0556 1.2182 8.7903 0.4554 0.5321 0.1266 0.1167 3.9512 0.7437
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Liqun Cui, Zhenzhong Yang, Tianlong Duan, Wenqing Li. Saliency Object Detection Method Based on Complex Prior Knowledge[J]. Laser & Optoelectronics Progress, 2020, 57(10): 101019
Paper Information
Category: Image Processing
Received: Sep. 19, 2019
Accepted: Oct. 25, 2019
Published Online: May. 8, 2020
The Author Email: Yang Zhenzhong (373604814@qq.com)
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