• DocumentCode
    2170015
  • Title

    Line detection Fusion using Spatial Frequency Measurement

  • Author

    Toontham, Kitti ; Emapana, Bhurit ; Udomhunsakul, Somkait

  • Author_Institution
    Comput. Eng. Dept., Rajamangala Univ. of Technol. Isan, Khonkaen, Thailand
  • Volume
    1
  • fYear
    2010
  • fDate
    26-28 Feb. 2010
  • Firstpage
    71
  • Lastpage
    75
  • Abstract
    In this paper, we present a line detection fusion method using Spatial Frequency Measurement (SFM). Our proposed method, A¿ trous algorithm is firstly applied with the original image to get the line feature detail information in two difference resolutions from a coarse one with 5×5 mask and a fine one with 3×3 mask. Next, both line feature detail information are fused to get a complete line feature using Spatial Frequency Measurement, which is compared with Laplacian Operator. From the experiments, we found that our proposed method provides a complete line feature evaluated by the correlation value. Also, the method is general and can be applied to other features in imagery.
  • Keywords
    Laplace transforms; frequency measurement; image fusion; object detection; A¿ trous algorithm; Laplacian operator; line detection fusion method; spatial frequency measurement; Band pass filters; Computer science education; Convolution; Educational technology; Frequency measurement; Image resolution; Laplace equations; Low pass filters; Spatial resolution; Wavelet transforms; Á trous algorithm; Correlation value; Laplacian Operator; Line detection; Spatial frequency measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer and Automation Engineering (ICCAE), 2010 The 2nd International Conference on
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4244-5585-0
  • Electronic_ISBN
    978-1-4244-5586-7
  • Type

    conf

  • DOI
    10.1109/ICCAE.2010.5451999
  • Filename
    5451999