Image Saliency Detection Based on Graph and Multi-Feature Diffusion

Yingying Zhang; Hongwei Ge

doi:10.3788/LOP57.041020

Laser & Optoelectronics Progress, Volume. 57, Issue 4, 041020(2020)

Image Saliency Detection Based on Graph and Multi-Feature Diffusion

Yingying Zhang^* and Hongwei Ge

Engineering Laboratory of Pattern Recognition and Computational Intelligence, School of Internet of Things Engineering, Jiangnan University, Wuxi, Jiangsu, 214122, China

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Figures & Tables(7)

Fig. 1. Background extraction from image boundary

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Fig. 2. Visual effect comparison of each algorithm

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Fig. 3. Comparison of algorithms on ASD dataset. (a) P-R curves; (b) F-measure curves; (c) P、R、F values under adaptive threshold

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Fig. 4. Comparison of algorithms on ECSSD dataset. (a) P-R curves; (b) F-measure curves; (c) P、R、F values under adaptive threshold

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Fig. 5. Comparison of algorithms on PASCAL-S dataset. (a) P-R curves; (b) F-measure curves; (c) P、R、F values under adaptive threshold

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Fig. 6. Comparison of algorithms on MSRA-B dataset. (a) P-R curves ;(b) F-measure curves; (c) P、R、F values under adaptive threshold

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Table 1. E_mae of different algorithms on 4 datasets

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Table 1. E_mae of different algorithms on 4 datasets

Dataset	GMF	SRD	GBMR	IDCL	BFS	MAP	BSCA	LPS	MC	MS	GRCC
ASD	0.050	0.069	0.075	0.078	0.141	0.077	0.086	0.071	0.093	0.108	0.161
ECSSD	0.148	0.181	0.186	0.182	0.206	0.185	0.183	0.186	0.203	0.204	0.283
PASCAL-S	0.191	0.224	0.229	0.214	0.229	0.221	0.222	0.216	0.230	0.225	0.299
MSRA-B	0.092	0.119	0.129	0.122	0.167	0.128	0.131	0.121	0.146	0.149	0.211

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Yingying Zhang, Hongwei Ge. Image Saliency Detection Based on Graph and Multi-Feature Diffusion[J]. Laser & Optoelectronics Progress, 2020, 57(4): 041020

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