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Article Navigation >  Journal of Traffic and Transportation Engineering  > 2003  >  3(4): 104-107
XIAO Wang-xin, ZHANG Xue, HUANG Wei. Adaptive thresholds edge detection of traffic image[J]. Journal of Traffic and Transportation Engineering, 2003, 3(4): 104-107.
Citation: XIAO Wang-xin, ZHANG Xue, HUANG Wei. Adaptive thresholds edge detection of traffic image[J]. Journal of Traffic and Transportation Engineering, 2003, 3(4): 104-107.
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Adaptive thresholds edge detection of traffic image

  • 1.

    Center of ITS Research, Southeast University, Nanjing 210096, China

  • 2.

    Department of Computer Science and Engineering, Southeast University, Nanjing 210096, China

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  • Author Bio:

    XIAO Wang-xin(1975-), male, doctoral student, 86-25-3793131, xzhangxue@seu.edu.cn

  • Received Date: 2003-01-28
  • Publish Date: 2003-04-25
    Abstract
  • The edge of traffic image was detected with wavelet transform. Its scale influence, meteyard and adaptive thresholds were studied. Large scale filter was used to restrain and identify noise, while small scale fiter was used to precisely position for image edge. A quadric B-spline wavelet was constructed, which has eminent characters, such as narrow support, small computation amount. Simulation results prove its effect is better than that of classical Sobel operator, the former method has good anti-noise and adaptive ability.

     

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