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 :
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