Title :
An improved wavelet multi-scale edge detection algorithm
Author :
Ma, Wei-Feng ; Deng, Cai-Xia
Author_Institution :
Sch. of Appl. Sci., Harbin Univ. of Sci. & Technol., Harbin, China
Abstract :
The traditional wavelet edge detection algorithm doesn´t ideal processing effects for the salt & pepper noised images. In allusion to this shortcoming, an improved wavelet multi-scale edge detection algorithm is proposed in this paper. Morphology is assimilated into the wavelet detection, and an objective data evaluation is given. Compared with the traditional method, the related coefficient of the improved algorithm is higher, and the distortion degree is reduced. It can effectively filter the salt & pepper noise, improve the accuracy of edge detection, and achieve an ideal effect of edge detection.
Keywords :
edge detection; wavelet transforms; distortion degree reduction; morphology; multiscale wavelet multiscale edge detection algorithm; objective data evaluation; salt-pepper noised images; Algorithm design and analysis; Filtering; Image edge detection; Noise; Wavelet analysis; Wavelet transforms; Edge detection; Morphology Filtering; Wavelet transform;
Conference_Titel :
Wavelet Analysis and Pattern Recognition (ICWAPR), 2012 International Conference on
Conference_Location :
Xian
Print_ISBN :
978-1-4673-1534-0
DOI :
10.1109/ICWAPR.2012.6294797
