• DocumentCode
    2141631
  • Title

    Research on edge detection of gray-scale image corrupted by noise based on multi-structuring elements

  • Author

    Fan, Linan ; Wen, Yong ; Xu, Xinhe

  • Author_Institution
    Sch. of Inf. Sci. & Eng., Northeastern Univ., Shenyang, China
  • fYear
    2003
  • fDate
    27-29 Aug. 2003
  • Firstpage
    840
  • Lastpage
    843
  • Abstract
    The morphological gradient operators of edge detection with multistructuring elements are given for gray-scale image. According to geometry feature of image, the multistructuring elements are selected to image details matching. Not only is the fine edge gathered, but also the noise restrained fiercely. It is showed by the experiments that the method is better than the classical edge detection.
  • Keywords
    edge detection; image denoising; image matching; mathematical morphology; edge detection; gray-scale image; image geometry; image matching; mathematical morphology; multistructuring elements; noise corruption; Cities and towns; Digital images; Filtering; Gradient methods; Gray-scale; Hospitals; Image edge detection; Image processing; Information science; Morphology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Parallel and Distributed Computing, Applications and Technologies, 2003. PDCAT'2003. Proceedings of the Fourth International Conference on
  • Print_ISBN
    0-7803-7840-7
  • Type

    conf

  • DOI
    10.1109/PDCAT.2003.1236428
  • Filename
    1236428