Ant-Inspired Visual Saliency Detection in Image
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Visual saliency detection aims to produce saliency map of images via simulating the behavior of the human visual system (HVS). An ant-inspired approach is proposed in this chapter. The proposed approach is inspired by the ant’s behavior to find the most saliency regions in image, by depositing the pheromone information (through ant’s movements) on the image to measure its saliency. Furthermore, the ant’s movements are steered by the local phase coherence of the image. Experimental results are presented to demonstrate the superior performance of the proposed approach.
2019 ◽
Vol 9
(3)
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pp. 23-37
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2013 ◽
Vol 2013
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pp. 1-9
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2014 ◽
Vol 926-930
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pp. 3692-3695
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2014 ◽
Vol 35
(7)
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pp. 1636-1643
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2018 ◽
Vol XLII-3
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pp. 341-348