关键词: 体绘制, 交互界面, 传递函数, RBF神经网络

Abstract: This paper proposes a novel method of multi-dimensional transfer function design for volume rendering based on RBF neural network. By sampling the characteristic information of interested voxels on the intuitional interactive interface with a brush, this method trains RBF neural network with these training samples. Trained RBF neural network achieves classification and recognition to all the voxels, and different optical parameters are allocated to all the different classification results to indicate, which finishes the design of a transfer function automatically. Experiment results have shown that the interactive interface can define the interested object conveniently and improve the efficiency of human-computer interaction greatly. Besides, the self-learning ability of RBF neural network can avoid the blindness of transfer function designs, enhance the rendering effect of interested regions and achieve the automation and intellectualization of transfer function designs.

Key words: volume rendering, interactive interface, transfer function, RBF neural network