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分析了体数据小波变换的空间 -频域特征 ,提出了一种构造体数据层次模型的新方法。新方法将小波变换的结果重组为有效位置体 ,并采用基于系数尺度立方体的细化规则 ,通过自上而下逐尺度加入高频细节的策略来构造体数据的层次模型。与现有方法不同 ,新方法直接根据小波系数来判定体数据局部区域的复杂度 ,避免了费时的小波逆变换 ,简化了模型的构造 ,节省了时间。实验证明 ,新方法性能良好 ,简单易行 ,适合对大容量规则数据集进行交互考察与分析
The spatial-frequency features of volume data wavelet transform are analyzed, and a new method of constructing hierarchical model of volume data is proposed. The new method reorganizes the result of wavelet transform into an effective position body and constructs a hierarchical model of volume data by using the thinning rule based on coefficient scale cubes and by adding high frequency details from top to bottom. Different from the existing methods, the new method directly determines the complexity of the local region of the volume data according to the wavelet coefficients, avoids time-consuming inverse wavelet transform, simplifies the construction of the model and saves time. Experiments show that the new method has good performance, simple and easy to conduct, and is suitable for interactive inspection and analysis of large capacity data sets