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