Abstract
The marching cubes (MC) algorithm is a common routine to extract isosurfaces from volumetric dataset. This method suffers from the exhaustive accessingcubes sequentially and the failure of directly separating theisosurfaces. To address this, an improved MC algorithmcalled AlutMC is proposed to track connected surfaces bycombining a new adjacent lookup table and random sam-pling technique. AlutMC has a natural ability to separatethe isosurfaces related to different components, which canefficiently segment 3D objects without extra expenditure andhelpful for visualizing medical objects. Experimental resultson three test data sets show the computational efficiencyin identifying isosurfaces. Additionally, it is simple and efficient, not requiring complex data structure, and can beused as is into the MC and its improvements because it isquite cost-effective and self-contained.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
