• DocumentCode
    2748583
  • Title

    Edge Detection Based on Multi-Structure Elements Morphology

  • Author

    Zhao, Yuqian ; Gui, Weihua ; Chen, Zhencheng

  • Author_Institution
    Sch. of Info-Phys. & Geomatics Eng., Central South Univ., Changsha
  • Volume
    2
  • fYear
    0
  • fDate
    0-0 0
  • Firstpage
    9795
  • Lastpage
    9798
  • Abstract
    Edge detection is an important pre-processing step in image analysis. Conventionally, mathematical morphology edge detection methods use single and symmetrical structure elements. But they are difficult to detect complex edge feature, because they are only sensitive to image edge which has the same direction of structure elements. This paper proposed a novel edge detection algorithm based on multi-structure elements morphology of eight different directions. We got eight different edge detection results by using morphological gradient algorithm respectively, and final edge result was got by using synthetic weighted method. The experimental results showed that the proposed algorithm was more efficient for edge detection than conventional mathematical morphological edge detection algorithms and differential edge detection operators
  • Keywords
    edge detection; feature extraction; gradient methods; mathematical morphology; set theory; edge detection; edge feature detection; image analysis; image preprocessing; mathematical morphology; morphological gradient algorithm; multistructure element morphology; set theory; single structure element; symmetrical structure elements; synthetic weighted method; Arithmetic; Computer vision; Gray-scale; Image analysis; Image edge detection; Image processing; Morphological operations; Morphology; Set theory; Shape; Edge detection; mathematical morphology; multi-structure elements;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on
  • Conference_Location
    Dalian
  • Print_ISBN
    1-4244-0332-4
  • Type

    conf

  • DOI
    10.1109/WCICA.2006.1713908
  • Filename
    1713908