• DocumentCode
    2329343
  • Title

    Application Research on Wavelet Analysis in Denoising of Visual Measurement Edge Detection

  • Author

    Ge, Youhua ; Lu, Qian ; Cui, ZHi

  • Author_Institution
    Sch. of Mech. Eng., Yancheng Inst. of Technol., Yancheng, China
  • Volume
    2
  • fYear
    2011
  • fDate
    28-30 Oct. 2011
  • Firstpage
    343
  • Lastpage
    346
  • Abstract
    Aiming at the deficiencies of using traditional Fourier transform method to denoise the image data of visual measurement edge detection, the application on wavelet analysis in denoising of visual measurement edge detection. The three-dimensional model of visual measurement based on binocular vision camera was built up firstly, of which on the basis, the wavelet analysis method was used to combine with the model, and the wavelet threshold improved algorithm was pointed out, and after simulation experiment and application of confirmatory experiment, the results of both of the two experiments show that the improved algorithm has better effect of reducing noise, and it could filter out random noise effectively. All this work is significative for further improving the accuracy of vision measurement edge detection.
  • Keywords
    Fourier transforms; edge detection; image denoising; image sensors; wavelet transforms; Fourier transform method; binocular vision camera; visual measurement edge detection denoising; wavelet analysis application research; Algorithm design and analysis; Cameras; Image edge detection; Noise; Noise reduction; Visualization; Wavelet analysis; Edge Detection; Visual Measurement; Wavelet Analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Design (ISCID), 2011 Fourth International Symposium on
  • Conference_Location
    Hangzhou
  • Print_ISBN
    978-1-4577-1085-8
  • Type

    conf

  • DOI
    10.1109/ISCID.2011.188
  • Filename
    6079807