Gray-scale Image Edge Detection Based on directional Beamlet Transform
Traditional edge detectors 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.
Wang Min Zhang Yanning
School of computer,Northwestern Polytechnical University,Xian China;Department of information antag School of computer,Northwestern Polytechnical University,Xian China
国际会议
9th International Conference on Signal Processing(第九届国际信号处理学术会议)(ICSP08)
北京
英文
2008-10-26(万方平台首次上网日期,不代表论文的发表时间)