Volume 3 Issue 4
. 
Turn off MathJax
Article Contents
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.
shu

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

More Information
  • 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.

     

    • FullText(HTML)
  • loading
    • References(7)
  • [1]
    Canny J. A computational approach to edge detection[J]. IEEETrans., PAMI, 1986, 8(6): 679-698.
    [2]
    Fathy M, Siyal M Y. A window-based image processing tech-nique for quantitative and qualitative analysis of road traffic pa-rameters[J]. IEEE Trans., 1998, 47(4): 1342-1349.
    [3]
    Fathy M, Siyal M Y. Real-time image processing approach tomeasure traffic queue parameters[J]. IEE Proceedings-Vision, Image and Signal Processing, 1995, 142(5): 297-303.
    [4]
    Picton P D. Tracking and Segmentation of Moving Objects in aScene[M]. Warwick, UK, 1989.
    [5]
    Fathy M, Siyal M Y. An image detection technique based onmorphological edge detection and background differencing forreal-time traffic analysis[J]. Pattern Recognition Letters, 1995, 16(12): 1321-1330.
    [6]
    Ashworth R, Darkin D G, Dickinson K W, et al. Applications ofvideo image processing for traffic control systems[A]. SecondInternational Conference on Road Traffic Control[C]. London, UK, 1985.
    [7]
    Mallat S G, Zhong S. Characterization of signal from multi-scales edges[J]. IEEE Trans., PAMI, 1992, 14(7): 701-732.
    • Relative Articles
    • Supplements(0)
    • Cited By
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索
    Get Citation
    PDF
    XML

    Article Metrics

    Article views (312) PDF downloads(331) Cited by()
    Proportional views
    Related

    Copyright《Journal of Traffic and Transportation Engineering》编辑部陕ICP备05001904号-1

    Address ：Editorial Department of Journal of Traffic and Transportation Engineering, Chang 'an University, Middle Section of South Second Ring Road, Xi 'an, Shaanxi（710064） Tel：029-82334388 Email：jygc@chd.edu.cn

    All visit:Today's visit:

    Supported by: Beijing Renhe Information Technology Co. Ltd    

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return