关键词: 中国虚拟人, C-V模型, 主成分分析, 局部信息, 距离约束项

Abstract: C-V model is one of the best segmentation methods，but the classical C-V models only segment the image into object and background；only use the intensity information when segmenting color images；must re-initial the distance function during evolving the curves.In Chinese Visible Human（CVH） images，there are many fake grey matters and with the effects of these fake matters the C-V model can hardly separate grey matters with fake grey matters.To deal with the problem the PCA model is presented to large the difference of grey matters and fake grey matters.With the effects of tissues themselves，there are many in-homogenous phenomenons in the CVH images；the local information is added to model to reduce these effects.Using the distance resistance energy，the model can evolve curves without re-initialization.The Chinese visual human brain images segmentation experimental results show that the method of this paper can get right results in an accuracy way.

Key words: Chinese Visible Human（CVH）, C-V model, PCA, local information, distance resistance function