Gray-scale Image Edge Detection Based on directional Beamlet Transform

被引：0
|
作者：
Wang Min [1 ]
Zhang Yanning [1 ]
机构：
[1] NW Polytech Univ, Sch Comp, Xian 710072, Peoples R China
来源：
ICSP: 2008 9TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING, VOLS 1-5, PROCEEDINGS | 2008年
关键词：
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Traditional edge defectors based on pixel processing one by one have poor ability to detect edge in noisy images. The beamlet transform is a method of linear feature detection but fail to detect edge. The directional beamlet transform is proposed in this paper. The DBT transfer the linear singularity to point-singularity, and reduce the influence to edge of noise. Experiment results prove the efficiency of the method proposed even in noisy images.
引用
收藏
页码：1121 / 1124
页数：4
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