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Salient regions are the most dominant parts of an image, which capture human visual system's attention. Finding computational methods that are able to detect salient regions especially in images with messy background is a challenging task. In this paper, a novel segment-based saliency detection method using the wavelet transform is proposed. The human beings are attracted by objects or regions rather...
We propose a novel salient region detection algorithm by texture-suppressed background contrast. We employ a structure extraction algorithm to suppress the small scale textures which are supposed to be not sensitive for human vision system. Then the texture-suppressed image is segmented into homogeneous superpixels. Motivated by the observation that the spatial distribution of the background has a...
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