Title :
Gray-scale image edge detection based on directional beamlet transform
Author :
Min, Wang ; Yanning, Zhang
Author_Institution :
Sch. of Comput., Northwestern Polytech. Univ., Xi´´an
Abstract :
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.
Keywords :
edge detection; image resolution; transforms; directional beamlet transform; gray-scale image edge detection; linear feature detection; linear singularity; noisy images; pixel processing; point-singularity; Computer vision; Detectors; Dictionaries; Discrete transforms; Gray-scale; Image edge detection; Image segmentation; Joining processes; Military computing; Pixel;
Conference_Titel :
Signal Processing, 2008. ICSP 2008. 9th International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-2178-7
Electronic_ISBN :
978-1-4244-2179-4
DOI :
10.1109/ICOSP.2008.4697326
