• DocumentCode
    2822033
  • Title

    A low complexity dual mode edge detector

  • Author

    Kau, Lih-Jen ; Chen, Chih-Shen

  • Author_Institution
    Dept. of Electron. Eng., Nat. Taipei Univ. of Technol., Taipei, Taiwan
  • fYear
    2011
  • fDate
    6-9 Nov. 2011
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Edge detection is widely applied in digital image processing, especially in segmentation of images. Many of the well-known edge detectors, e.g., Sobel and Canny operator, are based on spatial filtering with a mask around the pixel under detection. In this paper, we propose a very low complexity edge detector that has two operation modes; non-causal mode and causal mode. Though simple in its form, the proposed two operation modes can pick out pixels around boundaries effectively and efficiently. For images with salt-and-pepper noise, the proposed approach offers a much better noise immunity than that of by Sobel operator. Experimental results are also given to demonstrate the superiority of the proposed approach.
  • Keywords
    edge detection; image segmentation; spatial filters; Canny operator; Sobel operator; digital image processing; dual mode edge detector; image segmentation; low complexity edge detector; mask; noise immunity; noncausal mode; salt-and-pepper noise; spatial filtering; Complexity theory; Detectors; Image coding; Image edge detection; Noise; Shape; Vectors; Causal Pixel; Edge Detection; Gradient; Predictive Image Coding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Visual Communications and Image Processing (VCIP), 2011 IEEE
  • Conference_Location
    Tainan
  • Print_ISBN
    978-1-4577-1321-7
  • Electronic_ISBN
    978-1-4577-1320-0
  • Type

    conf

  • DOI
    10.1109/VCIP.2011.6115968
  • Filename
    6115968