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We propose a texture insensitive, region based image saliency detection algorithm, having excellent detection and localization properties, to obtain salient objects. We use a total variation based regularizer to suppress textures from the image and to make the method invariant to textural variations in the scene. This leads to an image that contains piecewise constant gray valued regions. This texture-free...
In this paper, we propose an unsupervised two-stage algorithm to extract salient objects from images. In the first stage, the image is segmented into superpixels that are grouped together through k-means clustering, based on histogram features of superpixels. The saliency of each cluster is calculated using inter-cluster and intra-cluster feature dissimilarities. In the second stage, we use seam carving...
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