• DocumentCode
    481726
  • Title

    Multi-Scale Shaft Parts Image Edge Detection and Measurement Based on Wavelet Transform

  • Author

    Ji, Ge ; Yaonan, Wang ; Bowen, Zhou ; Hui, Zhang

  • Author_Institution
    Coll. of Electr. & Inf. Eng., Hunan Univ., Changsha
  • Volume
    1
  • fYear
    2008
  • fDate
    19-20 Dec. 2008
  • Firstpage
    371
  • Lastpage
    375
  • Abstract
    Multi-scale edge detection method was demonstrated, also detailed algorithms, flow chart were put forward, shaft partspsila image as an example in this article. The algorithms resolve two problems existing in the first generation multi-scale edge detection, the demerits were edge defined only considering its irregularity and difficult selection of filtering scale. More satisfied edge detection results can be got applying wavelet transformationspsila regularity under different scales or the same scale. To realize image measurement, system calibration is the key factor, which ascertains the detection accuracy. Detection experiments are carried out to compare between the traditional operators and proposed algorithm, real dimension lengths of the shaft parts are calculated with the calibrated coefficient.
  • Keywords
    edge detection; filtering theory; wavelet transforms; filtering scale; image measurement; multiscale shaft parts image edge detection; wavelet transform; Computational intelligence; Computer industry; Conferences; Filtering algorithms; Image color analysis; Image edge detection; Image texture analysis; Shafts; Smoothing methods; Wavelet transforms; Edge detection and measurement; Multi-scale; Shaft parts; Wavelet Transform;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Industrial Application, 2008. PACIIA '08. Pacific-Asia Workshop on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-0-7695-3490-9
  • Type

    conf

  • DOI
    10.1109/PACIIA.2008.69
  • Filename
    4756584