• DocumentCode
    2402878
  • Title

    Automatic thresholding in edge detection using fuzzy approach

  • Author

    Thakkar, Mehul ; Shah, Hitesh

  • Author_Institution
    Dept. of Electron. & Commun. Eng., G H Patel Coll. of Eng. & Technol., Vallabh Vidyanagar, India
  • fYear
    2010
  • fDate
    28-29 Dec. 2010
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Edge detection is important step in image processing. In spite of two decade of research the need for general purpose edge detector is still felt. Threshold decision is the key uncertainty in the edge detection algorithms. Soft computing approach represents a good mathematical framework to deal with uncertainty of information. In this work, we used fuzzy logic for automatic thresholding and generated threshold is used with Sobel methods for edge detection. Empirical performance study shows the efficacy of automatic threshold method.
  • Keywords
    edge detection; fuzzy logic; fuzzy set theory; Sobel methods; automatic threshold method; edge detection algorithms; fuzzy approach; fuzzy logic; image processing; Detectors; Entropy; Fuzzy logic; Histograms; Image edge detection; MATLAB; Pixel; Edge detection; Fuzzy Thresholding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Computing Research (ICCIC), 2010 IEEE International Conference on
  • Conference_Location
    Coimbatore
  • Print_ISBN
    978-1-4244-5965-0
  • Electronic_ISBN
    978-1-4244-5967-4
  • Type

    conf

  • DOI
    10.1109/ICCIC.2010.5705868
  • Filename
    5705868