• DocumentCode
    3149282
  • Title

    A Perimeter-Based Noise Filter Algorithm for Vehicle Recognition

  • Author

    Wang, Weihua

  • Author_Institution
    Sch. of Comput., Chongqing Univ. of Arts & Sci., Chongqing, China
  • fYear
    2009
  • fDate
    15-16 May 2009
  • Firstpage
    42
  • Lastpage
    45
  • 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;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Ubiquitous Computing and Education, 2009 International Symposium on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-0-7695-3619-4
  • Type

    conf

  • DOI
    10.1109/IUCE.2009.21
  • Filename
    5223388