DocumentCode
2999116
Title
Vehicle image edge detection using image fusion at pixel level
Author
Fan, Xinnan ; Xu, Lizhong ; Zhang, Xuewu ; Hu, Hanjing
Author_Institution
Comput. & Inf. Inst., Hohai Univ., Changzhou
fYear
2008
fDate
1-3 Sept. 2008
Firstpage
1713
Lastpage
1716
Abstract
After analyzing gradient algorithms, such as sobel operator, robert operator, prewitt operator and canny operator, an improved method of edge detection of vehicle image is proposed in the study, based on image fusion at pixel level. The experimental results show that this method can obtain integrated and consecutive vehicle edgepsilas image and make for the recognition of vehicle type.
Keywords
automated highways; edge detection; gradient methods; image fusion; road vehicles; gradient algorithm; image fusion; image pixel level; vehicle image edge detection; Automated highways; Feature extraction; Image edge detection; Image fusion; Image processing; Image recognition; Laplace equations; Pixel; Road vehicles; Vehicle detection; Edge Detection; Gradient Algorithm; Image Fusion; Vehicle Recognition;
fLanguage
English
Publisher
ieee
Conference_Titel
Automation and Logistics, 2008. ICAL 2008. IEEE International Conference on
Conference_Location
Qingdao
Print_ISBN
978-1-4244-2502-0
Electronic_ISBN
978-1-4244-2503-7
Type
conf
DOI
10.1109/ICAL.2008.4636431
Filename
4636431
Link To Document