• DocumentCode
    1500726
  • Title

    Edge detection of colour image based on quaternion fractional differential

  • Author

    Gao, C.B. ; Zhou, J.L. ; Hu, J.R. ; Lang, F.N.

  • Author_Institution
    Sch. of Comput. Sci., Sichuan Univ., Chengdu, China
  • Volume
    5
  • Issue
    3
  • fYear
    2011
  • fDate
    4/1/2011 12:00:00 AM
  • Firstpage
    261
  • Lastpage
    272
  • Abstract
    According to the development of the real fractional differential and its applications in the modern signal processing, the authors extend it to quaternion body and put forward a new concept: quaternion fractional differential (QFD), and apply it to edge detection of colour image. This method is called edge detection based on QFD. Simulation experiments indicate that this method has special advantages. Furthermore, the authors give an indicator to evaluate the effectiveness of different edge filters. Comparing with Sobel and mix edges of real fractional differential to every channels of colour image, they discover that QFD has fewer false negatives in the textured regions and is also better at detecting edges that are partially defined by texture, which means the authors can obtain much better results in the interesting regions using QFD and is more consistent with the characteristics of human visual system.
  • Keywords
    edge detection; filtering theory; image colour analysis; image texture; colour image; edge detection; edge filters; human visual system; image texture; modern signal processing; quaternion body; quaternion fractional differential;
  • fLanguage
    English
  • Journal_Title
    Image Processing, IET
  • Publisher
    iet
  • ISSN
    1751-9659
  • Type

    jour

  • DOI
    10.1049/iet-ipr.2009.0409
  • Filename
    5754021