• DocumentCode
    1930755
  • Title

    An improved Sobel edge detection

  • Author

    Gao, Wenshuo ; Zhang, Xiaoguang ; Yang, Lei ; Liu, Huizhong

  • Author_Institution
    Digital Media Dept., Commun. Univ. of China, Beijing, China
  • Volume
    5
  • fYear
    2010
  • fDate
    9-11 July 2010
  • Firstpage
    67
  • Lastpage
    71
  • Abstract
    This paper proposes a method which combines Sobel edge detection operator and soft-threshold wavelet de-noising to do edge detection on images which include White Gaussian noises. In recent years, a lot of edge detection methods are proposed. The commonly used methods which combine mean de-noising and Sobel operator or median filtering and Sobel operator can not remove salt and pepper noise very well. In this paper, we firstly use soft-threshold wavelet to remove noise, then use Sobel edge detection operator to do edge detection on the image. This method is mainly used on the images which includes White Gaussian noises. Through the pictures obtained by the experiment, we can see very clearly that, compared to the traditional edge detection methods, the method proposed in this paper has a more obvious effect on edge detection.
  • Keywords
    Gaussian noise; edge detection; median filters; signal denoising; wavelet transforms; white noise; Sobel edge detection operator; mean denoising; median filtering; soft-threshold wavelet denoising; white Gaussian noise; Image edge detection; Noise reduction; White Gaussian noises; edge detection; edge detection operator; soft-threshold wavelet de-noising;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Information Technology (ICCSIT), 2010 3rd IEEE International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4244-5537-9
  • Type

    conf

  • DOI
    10.1109/ICCSIT.2010.5563693
  • Filename
    5563693