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In this paper, we present a novel framework to incorporate high-level guidance and low-level features to automatically identify salient objects based on two ideas. The first one considers the specific location prior to encode visual saliency, while the second one estimates image saliency using contrast with respect to background regions. The proposed framework consists of the following three steps:...
This paper mainly discusses how to use histogram projection and LBDM (Learning Based Digital Matting) to extract a tongue from a medical image, which is one of the most important steps in diagnosis of traditional Chinese Medicine. We firstly present an effective method to locate the tongue body, getting the convinced foreground and background area in form of trimap. Then, use this trimap as the input...
Hair segmentation is challenging due to the diverse appearance, irregular region boundary and the influence of complex background. To deal with this problem, we propose a novel method, named Isomorphic Manifold Inference (IMI). Given a head-shoulder image, a Coarse Hair Probability Map (Coarse HPM), each element of which represents the probability of the pixel being hair, is initially calculated by...
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