Gray-scale image edge detection based on directional beamlet transform
Wang Min, Zhang Yanning · 2008
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.