• DocumentCode
    3154508
  • Title

    An improved Kirsch human face image edge-detection method based on canny lgorithm

  • Author

    Wei-bo, Yu ; Zun-sheng, Du

  • Author_Institution
    Sch. of Electr. & Electron Eng., Changchun Univ. of Technol., Changchun, China
  • fYear
    2011
  • fDate
    16-18 April 2011
  • Firstpage
    4740
  • Lastpage
    4743
  • Abstract
    In view of the Kirsch edge detection algorithm´s shortage, a method of improved Kirsch human face edge detection was proposed. First, this method smoothed the original image with Gaussian filter, calculated its gradient image. Then, this method calculated the gradient image using the improved Kirsch algorithm, and extract edge according T1 and T2 two. Computer simulation experiments indicated that the improved method is not susceptible to Noises, and it could detect weak edge. The result of the experiments showed that the effect of the improved method is super to the classical Kirsch edge detection method.
  • Keywords
    Gaussian processes; edge detection; face recognition; filtering theory; Canny algorithm; Gaussian filter; computer simulation experiments; gradient image; improved Kirsch human face image edge detection method; Face; Gray-scale; Humans; Image edge detection; Noise; Pixel; Smoothing methods; Canny algorithm; Kirsch algorithm; edge detection; face recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Consumer Electronics, Communications and Networks (CECNet), 2011 International Conference on
  • Conference_Location
    XianNing
  • Print_ISBN
    978-1-61284-458-9
  • Type

    conf

  • DOI
    10.1109/CECNET.2011.5768553
  • Filename
    5768553