DocumentCode :
2608443
Title :
An edge detection approach of image fusion based on improved Sobel operator
Author :
Deng, Caixia ; Ma, Weifeng ; Yin, Yin
Author_Institution :
Sch. of Appl. Sci., Harbin Univ. of Sci. & Technol., Harbin, China
Volume :
3
fYear :
2011
fDate :
15-17 Oct. 2011
Firstpage :
1189
Lastpage :
1193
Abstract :
Anti-noise ability and edge continuity of Sobel edge detection algorithm are poor. In order to solve these problems, an improved method of Sobel operator is given in this paper. In addition, making use of fusion technology, a kind of method combined with improved Sobel operator, wavelet transform, Canny algorithm and Prewitt operator is put forward, which keeps their respective advantages. Experiments show that the fusion image effectively improves the accuracy of edge detection and gets a quite ideal edge detection effect.
Keywords :
edge detection; image fusion; wavelet transforms; Canny algorithm; Prewitt operator; Sobel edge detection algorithm; anti-noise ability; edge continuity; image fusion; improved Sobel operator; wavelet transform; Educational institutions; Filtering; Gray-scale; Image edge detection; Noise; Wavelet transforms; Sobel operator; edge detection; fusion; wavelet transform;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image and Signal Processing (CISP), 2011 4th International Congress on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-9304-3
Type :
conf
DOI :
10.1109/CISP.2011.6100499
Filename :
6100499
Link To Document :
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