Title :
A method of multi-scale edge detection based on lifting scheme and fusion rule
Author :
Ge, Wen ; Gao, Li-Qun ; Sun, Qing
Author_Institution :
Northeastern Univ., Shenyang
Abstract :
Recently, the edge detection methods based on wavelet transform are mainly to extract image edge of high-frequency parts and to ignore some edge information of low-frequency ones. And the traditional wavelet transform is time and memory consuming. Therefore a method of multi-scale edge detection based on lifting scheme and fusion rule is proposed in this paper. This algorithm should be carried out first to decompose the source image by lifting scheme. Then the edges of high-frequency and low-frequency sub-images are extracted separately. The final edge image is obtained through the fusion rule of average energy. Experimental results showed that the algorithm has advantages of quick operation, efficient suppression of noise and high detection accuracy.
Keywords :
edge detection; feature extraction; image denoising; image fusion; wavelet transforms; feature extraction; fusion rule; lifting scheme; multiscale edge detection; noise suppression; wavelet transform; Agricultural engineering; Data mining; Frequency domain analysis; Image analysis; Image edge detection; Image processing; Information analysis; Low-frequency noise; Wavelet analysis; Wavelet transforms; Canny operator; fusion rule; lifting scheme; multi-scale edge detection; wavelet transform;
Conference_Titel :
Wavelet Analysis and Pattern Recognition, 2007. ICWAPR '07. International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-1065-1
Electronic_ISBN :
978-1-4244-1066-8
DOI :
10.1109/ICWAPR.2007.4420807
