• DocumentCode
    523682
  • Title

    Image Segmentation Based on Global Extraction and Local Repair of Boundaries

  • Author

    Mincong, He ; Weixin, Ling ; Jianhui, Zhao

  • Author_Institution
    South China Univ. of Technol., Guangzhou, China
  • Volume
    2
  • fYear
    2010
  • fDate
    11-12 May 2010
  • Firstpage
    474
  • Lastpage
    477
  • Abstract
    As the edge lines obtained from the Canny´s edge detection operator are not closed, it difficult to use the edge map for the image segmentation. Moreover, the detection result contains some edge lines have nothing to do with the target partition, also resulting in poor segmentation results. This paper presents a method combining global edge extraction with local edge repair, in conjunction with the morphological processing to obtain closed edge lines and remove irrelevant edge. GELR is short for this method.
  • Keywords
    edge detection; feature extraction; image segmentation; Canny edge detection operator; GELR; edge lines; global extraction; image segmentation; local boundaries repair; Automation; Flowcharts; Gaussian noise; Genetic mutations; Helium; Image edge detection; Image segmentation; Level set; Low pass filters; Morphology; Canny operator; Edge detection; Image segmentation; morphology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Computation Technology and Automation (ICICTA), 2010 International Conference on
  • Conference_Location
    Changsha
  • Print_ISBN
    978-1-4244-7279-6
  • Electronic_ISBN
    978-1-4244-7280-2
  • Type

    conf

  • DOI
    10.1109/ICICTA.2010.507
  • Filename
    5522821