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In this paper, we present a robust depth-based obstacle detection system in computer vision. The system aims to assist the visually-impaired in detecting obstacles with distance information for safety. With analysis of the depth map, segmentation and noise elimination are adopted to distinguish different objects according to the related depth information. Obstacle extraction mechanism is proposed...
Magnetic resonance imaging (MRI) has become a useful modality since it provides unparallel capability of revealing soft tissue contrast as well as 3D visualization. One potential application of MRI in clinical practice is the parenchyma classification and segmentation of normal and pathological tissue. It is the first step to address a wide range of clinical problems. This paper presents a new spectral...
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