DocumentCode
3245243
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
fYear
2012
fDate
15-17 July 2012
Firstpage
302
Lastpage
306
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Wavelet Analysis and Pattern Recognition (ICWAPR), 2012 International Conference on
Conference_Location
Xian
ISSN
2158-5695
Print_ISBN
978-1-4673-1534-0
Type
conf
DOI
10.1109/ICWAPR.2012.6294797
Filename
6294797
Link To Document