https://3demmethods.i2pc.es/index.php?action=history&feed=atom&title=2003Bajaj_BoundarySegmentation 2026-05-24T20:37:27Z Revision history for this page on the wiki MediaWiki 1.44.2 https://3demmethods.i2pc.es/index.php?title=2003Bajaj_BoundarySegmentation&diff=1944&oldid=prev 2009-08-06T09:58:46Z

<p></p> <p><b>New page</b></p><div>== Citation ==<br /> Bajaj C, Yu Z, Auer M. Volumetric feature extraction and visualization of tomographic molecular imaging. J Struct Biol. 2003 Oct-Nov;144(1-2):132-43.<br /> <br /> == Abstract ==<br /> 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 segmentationnext term and skeletonization, and demonstrate their applications in feature extraction and visualization of cell and molecular tomographic imaging. We also introduce an interactive volumetric exploration and visualization tool (Volume Rover), which encapsulates implementations of the above volumetric image processing algorithms, and additionally uses efficient multi-resolution interactive geometry and volume rendering techniques for interactive visualization.<br /> <br /> == Keywords ==<br /> <br /> == Links ==<br /> Article: http://dx.doi.org/10.1016/j.jsb.2003.09.037 <br /> <br /> == Related software ==<br /> <br /> == Related methods ==<br /> <br /> == Comments ==</div>

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