DocumentCode :
3226128
Title :
The Method of Ostu Used in the Video Detection of Vehicles
Author :
Zhang, Huiling ; Lu, Baichuan ; Yu, Yong
Author_Institution :
Sch. of Traffic Transp., Chongqing Jiaotong Univ., Chongqing
Volume :
2
fYear :
2008
fDate :
20-22 Oct. 2008
Firstpage :
547
Lastpage :
551
Abstract :
The paper researches the threshold segmentation arithmetic of the video vehicle measurement. It is the image´s preprocessing that using the method of least square fitting to adjust the primal image and dealing the image with the median filter. For the threshold selection, the article gives the theory of the state method, 2-mode method, iterative method and Ostu method and analyses them to make the vehicle separating with the background. Through the dealing results, the state method is the most simple method, but it is easy effected by the researcher; The 2-mode method can be used in certain image and the result approved that this method is not fit for the video vehicle image; The iterative method has similar result as the Ostu method, but it has complex programming and need long time to process. So the Ostu method is selected to processing the video vehicle image in this project. Through test, the Ostu method can make the parameters of the vehicles´ extracted effectively.
Keywords :
iterative methods; least squares approximations; traffic engineering computing; video signal processing; 2-mode method; Ostu method; image preprocessing; iterative method; least square fitting; median filter; state method; threshold segmentation arithmetic; vehicle video detection; video vehicle measurement; Automation; Filtering; Image segmentation; Iterative methods; Nonlinear filters; Pixel; Smoothing methods; Transportation; Vehicle detection; Vehicles; Ostu; traffic engineering; vehicle´s video detection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Computation Technology and Automation (ICICTA), 2008 International Conference on
Conference_Location :
Hunan
Print_ISBN :
978-0-7695-3357-5
Type :
conf
DOI :
10.1109/ICICTA.2008.219
Filename :
4659823
Link To Document :
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