Volumetric Filtering, Feature Extraction, and Visualization of Volumetric Tomographic Molecular Imaging
نویسندگان
چکیده
We present algorithms for fully automatic volume filtering, boundary segmentation and skeletonization, and demonstrate their applications in cell and molecular tomographic imaging. We also introduce an interactive volumetric exploration tool (Volume Rover), which encapsulates implementations of the above filtering, and curve/surface feature extraction algorithms, and additionally uses multi-resolution interactive geometry and volume rendering, for the visualization.
منابع مشابه
Volumetric feature extraction and visualization of tomographic molecular imaging.
Electron tomography is useful for studying large macromolecular complex within their cellular context. The associate problems include crowding and complexity. Data exploration and 3D visualization of complexes require rendering of tomograms as well as extraction of all features of interest. We present algorithms for fully automatic boundary segmentation and skeletonization, and demonstrate thei...
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تاریخ انتشار 2003