Title :
A Perimeter-Based Noise Filter Algorithm for Vehicle Recognition
Author_Institution :
Sch. of Comput., Chongqing Univ. of Arts & Sci., Chongqing, China
Abstract :
Noise filter is the process of removing noise from a signal. In the area of image processing, the noise filter process is very important for the users. A new noise filter algorithm base on perimeter for vehicle recognition is proposed in this paper. Providing a edge detection methods based on Sobel operator, discussing the problem of noise in the boundary detected above, analysis the principle of the detailed solve approach for the problem, giving the implement of the algorithm. Experiments have been conducted by real vehicle images obtained from the real-time video produced by a monitor. The result shows that the new proposed method can remove the noise of the image signal for the vehicle recognition efficiently.
Keywords :
edge detection; filtering theory; image denoising; traffic engineering computing; vehicles; Sobel operator; edge detection methods; image processing; image signal; perimeter-based noise filter algorithm; real-time video; vehicle recognition; Filters; Image edge detection; Image processing; Image recognition; Image segmentation; Image texture analysis; Intelligent transportation systems; Intelligent vehicles; Signal processing; Ubiquitous computing; filter; image processing; perimeter; vehicle recognition;
Conference_Titel :
Intelligent Ubiquitous Computing and Education, 2009 International Symposium on
Conference_Location :
Chengdu
Print_ISBN :
978-0-7695-3619-4
DOI :
10.1109/IUCE.2009.21