Hough Transform-based Technique for Automated Carbon Nanocone Segmentation

被引:0
作者
Smith, Andries H. [1 ]
Lee, Jong Kwan [1 ]
Hu, Hao [1 ]
Mandell, Eric S. [2 ]
机构
[1] Bowling Green State Univ, Dept Comp Sci, Bowling Green, OH 43403 USA
[2] Bowling Green State Univ, Dept Phys & Astron, Bowling Green, OH 43403 USA
来源
WSCG 2013, FULL PAPERS PROCEEDINGS | 2013年
关键词
Hough Transform; Carbon Nanocone Segmentation; Image Processing; ALGORITHM;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
A new technique to automatically segment the L-shaped carbon nanocone structures from Transmission Electronic Microscopy (TEM) images is described. The technique enables robust segmentation of the structures by exploiting a simplified Generalized Hough Transform (HT)-based processing. Exploitation of parallelism on commodity hardware is also explored for efficient processing. Effectiveness of the technique is evaluated through experiments on synthetic, simulated, and real images of carbon nanocone structures.
引用
收藏
页码:19 / 28
页数:10
相关论文
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