Transfer Function Design for 3D Volume Rendering Based on Intelligent 2D Histogram Image Segmentation

In order to strengthen transfer function (TF)'s ability in identifying meaningful features and simplify interactive mode, we present a TF design method based on 2D histogram image segmentation with the guidance of feature difference evaluation.We compute different features to design 2D TFs and use these TFs to separate interesting structures in volume progressively.We also present a feature difference evaluation method to assist choosing features intelligently when designing 2D TFs.By applying these TFs in series to separate interesting structures in volume, we can get a fine separation result which will be highlighted in visualization to perfect rendering result.Besides, we learn from previous work and use normalized cut method to segment 2D histogram image in order to explore volumes hierarchically, which makes our interaction with transfer function more convenient.Some experimental results demonstrate the effectiveness of our method.