.png){kind=icon}
Return
Propagation-based marching cubes algorithm using open boundary loop
.png){kind=icon}
PRE
AI
DOI：10.1007/s00371-017-1417-2.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
The marching cubes (MC) algorithm is employed to generated triangular meshes for visualizing medical images, sculpture scans and mathematical surfaces. It sequentially traverses cuberille data composed of sampled points of a scalar volumetric data. This paper proposes a propagation-based MC algorithm that uses the open boundary loop concept. The open boundary loop is used to determine adjacent cells for the next iteration of the MC algorithm. After inserting each triangle, the open boundary loop is reevaluated. Simultaneously, it is ensured that all triangles are coherently oriented and there are no holes on the isosurface. Several tests are conducted to determine the performance of the algorithm in comparison with the original MC algorithm. Results from these tests indicate that, for large-scale problems, the proposed algorithm performs better than the original.
Keywords:
Marching cubes algorithm
Propagation-based approach
Open boundary
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
2.9
Papers:
4.6K
Citations:
6.5K
Organization
Cited Papers
Polychlorinated Biphenyls Affect Thyroid Function and Induce Autoimmunity in Sprague-Dawley Rats
.png){kind=icon}
PREAI
ShareSave
ShareSaveShareSaveShareSaveTheory of Capacitance‐Voltage Characteristics of Semiconductor Electrodes with Interface States
PREAI
ShareSave
View more