• DocumentCode
    1597518
  • Title

    Multi-scale Mathematical Morphology Based Image Edge Detection

  • Author

    Wang Tao ; Wei Na

  • Author_Institution
    Teaching & Res. Div. of Inf. Technol., Eng. Coll. of Armed Police Force, China
  • fYear
    2012
  • Firstpage
    1060
  • Lastpage
    1062
  • Abstract
    Edge detection is one of the most challenging tasks in image processing. A scheme for edge detection of images based on multi-scale morphology is presented in this paper. Mathematical morphology is a mathematic tool to analyze the image based on the structuring element. The morphological edge detection operator is non-linear difference operator. The results due to the proposed method have been found reasonably satisfactory. It proves that a morphological operation with a scalable structuring element can extract features more exactly.
  • Keywords
    edge detection; feature extraction; mathematical morphology; nonlinear differential equations; features extraction; image edge detection; image processing; multiscale mathematical morphology; nonlinear difference operator; structuring element; Feature extraction; Filtering theory; Image edge detection; Morphology; Noise; Shape; Edge detection; Mathematical morphology; Multi-scale structuring element;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent System Design and Engineering Application (ISDEA), 2012 Second International Conference on
  • Conference_Location
    Sanya, Hainan
  • Print_ISBN
    978-1-4577-2120-5
  • Type

    conf

  • DOI
    10.1109/ISdea.2012.674
  • Filename
    6173387