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This paper presents a multi-scale morphology approach to the volume segmentation and visualization problem. The basis of the approach is applying morphological operations with spherical structuring elements at various sizes to create a representation of the volume data that encodes structural information at multiple scales. Through an interactive user interface, the user can effectively segment and...
A number of problems are well suited for volumetric representation for both simulation and storage, however, the large amount of data that needs to be processed and rendered with these volumes makes interactive manipulation extremely challenging. We present a scalable PC cluster system (VG cluster) designed specifically to enable simultaneous volumetric computation and visualization, using compositing...
Parallel volume rendering offers a feasible solution to the large data visualization problem by distributing both the data and rendering calculations among multiple computers connected by a network. In sort-last parallel volume rendering, each processor generates an image of its assigned subvolume, which is blended together with other images to derive the final image. Improving the efficiency of this...
We present a fast volume rendering algorithm for time-varying fields. We propose a new data structure, called time-space partitioning (TSP) tree, that can effectively capture both the spatial and the temporal coherence from a time-varying field. Using the proposed data structure, the rendering speed is substantially improved. In addition, our data structure helps to maintain the memory access locality...
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