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As a preprocessing step of many applications, such as object recognition, image retrieval and scene analysis, saliency detection plays an important role and remains a challenging and significant problem in computer vision. Most existing bottom-up methods utilize local or global contrast information to compute the saliency maps, whereas a few methods generate saliency maps with the use of background...
This paper presents an unsupervised object extraction system that extracts a single object from natural scenes without relying on color information. The contour information and texture information are analyzed through separate oriented-edge-based processing channels and then combined to complement each other. Contour candidates are extracted from multiresolution edge maps, whereas the local texture...
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