Image co-segmentation is important for its advantage of alleviating the ill-pose nature image segmentation through exploring correlation between related images. Many automatic algorithms have been developed in last decade, which are investigated comprehensively this paper. We firstly analyze visual/semantic cues guiding co-segmentation, including object and cues. Then, we describe traditional m...

Automatic segmentation of brain MRI data usually leaves some segmentation errors behind that are to be subsequently removed interactively using computer graphics tools. This interactive removal is normally performed by operating on individual 2D slices. It is very tedious and still leaves some segmentation errors which are not visible on the slices. We have proposed to perform a novel 3D intera...

Automatic term extraction is the first step towards automatic or semi-automatic update of existing domain knowledge base. Most of the researches applied word segmentation as a preprocessing step to Chinese term extraction. However, segmentation ambiguity is unavoidable, especially in identifying unknown words for Chinese. In this paper, we discuss the effect and limitations of segmentation to C...