DocumentCode :
3497886
Title :
2-step wavelet-based edge detection using gabor and cauchy directional wavelets
Author :
Niya, Javad Musevi ; Aghagolzadeh, Ali ; Tinati, Muhammad Ali ; Feizi, Saber
Author_Institution :
Fac. of Eng., Islamic Azad Univ., Tabriz
Volume :
1
fYear :
0
fDate :
0-0 0
Firstpage :
115
Lastpage :
120
Abstract :
In this paper we propose a new wavelet-based approach for solving edge detection problem. Using primary knowledge of the direction of the edges extracted by ordinary separable and isotropic wavelet transform, we can classify the pixels as edge points, background and candidate edge point. For the candidate edge points, we propose implementing the Gabor and Cauchy directional wavelets and detecting the edge points precisely
Keywords :
edge detection; wavelet transforms; 2-step wavelet-based edge detection; Cauchy directional wavelet; Gabor directional wavelet; background edge point; candidate edge point; edge point; Computer vision; Frequency domain analysis; Image analysis; Image edge detection; Image processing; Java; Telecommunication computing; Wavelet coefficients; Wavelet domain; Wavelet transforms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Communication Technology, 2005, ICACT 2005. The 7th International Conference on
Conference_Location :
Phoenix Park
Type :
conf
DOI :
10.1109/ICACT.2005.246020
Filename :
1461748
Link To Document :
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