摘要：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.
