An image saliency detection method by constructing graph model
نویسندگان
چکیده
In this paper, we present an image saliency detection method by constructing graph model. We extract color, texture and compactness features and segment superpixels from an input image to construct a graph model. Then, saliency for each is measured by calculating random walker probability on the node. Extensive results on MSRA dataset containing 1000 test images with ground truths demonstrate that the proposed saliency model outperforms the state-of-the-art saliency models with higher precision and recall performances. Key-Words: Saliency detection, graph model, superpixel segmentation, random walk
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