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This study presents an efficient saliency model mainly aiming at content-based applications such as salient object segmentation. The input colour image is first pre-segmented into a set of regions using the mean shift algorithm. A set of Gaussian models are estimated on the basis of segmented regions, and then for each pixel, a set of normalised colour likelihood measures to different Gaussian models...
A technique for map image segmentation is presented. By combining a thresholding method which is fast and easy to implement and fuzzy rules which can deal with uncertain or ambiguous data, the technique presented outperforms the commonly used adaptive thresholding method.<<ETX>>
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