High dimensional transfer function design based on K-Means ++ for volume visualization

The problem how to render the important information of the volume data qualitatively in medical visualization needs to be resolved urgently.The method of designing high dimensional transfer function interactively according to the high dimension histogram was used widely,but this method is complex and is of low quality.To solve the design problems of the characteristic high dimensional transfer function,a volume rendering method of automatic and interactive design of high dimensional transfer function based on K-Means+ + clustering algorithm was presented in this paper.Firstly,feature extraction was done on the volume data,then to cluster the feature space,K-Means+ + clustering algorithm was used,and the group of label transfer function was generated automatically.Finally,a convenient interactive user interface was provided to users to adjust.The GPU(Graphic Processing Unit) based volume rendering was used to perform the strong parallel computing ability for real-time rendering.The experimental results show that this method can eliminate the complexity of the design of high dimensional transfer function,and many kinds of human body organization structure characteristics can be shown in the rendering results.