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›› 2012, Vol. ›› Issue (2): 251-256.DOI: 10.7523/j.issn.2095-6134.2012.2.016

• Research Articles • Previous Articles     Next Articles

A parallel algorithm for surface extraction with higher-order smoothness

LI Wen, GUO Li, YUAN Hong-Xing, GUAN Hua   

  1. Department of Electronic Science and Technology, University of Science and Technology of China, Hefei 230027, China
  • Received:2010-09-30 Revised:2011-04-02 Online:2012-03-15

Abstract:

Considering the problems(complicated computation and huge data) of SEBVHOS(surface extraction from binary volumes with high-order smoothness), we propose a parallel algorithm to accelerate the SEBVHOS execution. Firstly, SEBVHOS is parallelized. Secondly, optimization techniques are applied to improve performance of the algorithm. Meanwhile, matrix compression is applied to improve performance of memory space. Experiments show that the average speed-up ratio achieves 1.87 in a dual-core system.

Key words: parallel algorithm, multi-core, optimization technology, volume visualization, 3D reconstruction

CLC Number: