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

页码：1121 / 1124

页数：4