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作者:

Chen, Yu (Chen, Yu.) | Fang, Bin (Fang, Bin.) | Wang, Pu (Wang, Pu.)

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摘要:

The beamtet transform is an efficient tool for multiscale analysis. An edge detection algorithm is proposed based on beamtet transform. The evaluation of this algorithm is taken from several aspects, such as the continuity of the edge detection, the antinoise performance and so on. The algorithm is applied to detect edge and identify lane from road images. The experiments show that the continuity of edge detection is good, the new method has low rate of wrong detection and miss detection, which also has good performance on line extraction. But the performance of antinoise is inferior. The edge we gained contains information on the position, the orientation and so on, which will be convenient for the target recognition. ©; 2009 IEEE.

关键词:

Edge detection Intelligent vehicle highway systems Signal detection

作者机构:

  • [ 1 ] [Chen, Yu]School of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100124, China
  • [ 2 ] [Fang, Bin]Ministry of Education P.R.C Engineering Research, Center of Digital Community, Beijing, 100124, China
  • [ 3 ] [Wang, Pu]Ministry of Education P.R.C Engineering Research, Center of Digital Community, Beijing, 100124, China

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年份: 2009

页码: 163-167

语种: 英文

被引次数:

WoS核心集被引频次: 0

SCOPUS被引频次: 2

ESI高被引论文在榜: 0 展开所有

万方被引频次:

中文被引频次:

近30日浏览量: 2

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