Visualizing Industrial CT Volume Data for Nondestructive Testing Applications
Source: University of California
This paper describes a set of techniques developed for the visualization of high-resolution volume data generated from industrial computed tomography for NonDestructive Testing (NDT) applications. Because the data are typically noisy and contain ne features, direct volume rendering methods do not always give one satisfactory results. This paper has coupled region growing techniques and a 2D histogram interface to facilitate volumetric feature extraction. The new interface allows the user to conveniently identify, separate or composite, and compare features in the data. To lower the cost of segmentation, the paper shows how partial region growing results can suggest a reasonably good classification function for the rendering of the whole volume.