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A salient region is part of an image that captures the highest level of attention by the human visual system. In this paper, a new salient region detection method is proposed by linearly combining the feature maps for the L, a and b color channels. Since, the wavelet transform is capable of providing a multi-scale spatial-frequency decomposition of the image, the color feature maps are obtained using...
A salient region is part of the image that captures the greatest attention by the human visual system. In this paper, we propose a novel salient region detection technique in the non-subsampled contourlet domain. The image is first decomposed into non-overlapping patches in order to fully exploit the repetitive patterns in the image. It is known that the non-subsampled contourlet transform provides...
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...
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