Visualization for Non-linear Enhanced Volume Data

There is a strong need for acquisition of high quality volume data sets, with the vision of visualizing organs, engines or other materials for variant fields. Visualized computer model provides interactive investigation and improves understanding of details of substances. Since the quality of volume data which is acquired by CT and MRI devices is impacted by noisy, partial effect and bias seriously, in this paper we first apply non-linear filters in pre-processing stage to improve the quality of 3D volume data, followed by construction of 2D histogram based on external voxels to design the transfer function. Finally, we use ray-casting algorithm to render volume data. We applied the method presented above to four datasets. The noise is suppressed effectively after denoising with nonlinear anisotropic filtering. Boundary between materials can be following differentiated clearly by designing transfer function with 2D histogram constructed based on the pre-processed data.