• DocumentCode
    1801578
  • Title

    A method of color edge detection using mathematical morphology

  • Author

    Zhang, Xinghui ; Li, Jiuying

  • Author_Institution
    Dept. of Electron. & Inf., Ankang Univ., Ankang, China
  • Volume
    3
  • fYear
    2011
  • fDate
    24-26 Dec. 2011
  • Firstpage
    1633
  • Lastpage
    1637
  • Abstract
    It is difficult to effectively distinguish the similarity between colors in RGB color space, so color image processing is implemented in HSI space which reflects the features of human vision. An adaptive algorithm of color image edge detection based on multiple structure and multi-scale elements in HSI space is proposed. Firstly, morphological edge detection is executed by using different structure and different scale elements to hue, saturation and intensity. Then, according to the weight derived from information entropy, the color edge information is obtained by combining component´s edge information. The experimental results show that proposed algorithm can make full use of the hue, saturation and intensity information to effectively eliminate the noise and adaptively extract the complete edge information.
  • Keywords
    edge detection; entropy; image colour analysis; mathematical morphology; HSI space multiple structure; HSI space multiscale elements; RGB color space; adaptive algorithm; color image edge detection method; color image processing; component edge information; edge information extraction; hue; human vision features; information entropy; intensity; mathematical morphology; morphological edge detection; noise elimination; saturation; Image edge detection; Image segmentation; gradient reconstruction; morphological opening-closing reconstruction; region merging; watershed segmentation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Network Technology (ICCSNT), 2011 International Conference on
  • Conference_Location
    Harbin
  • Print_ISBN
    978-1-4577-1586-0
  • Type

    conf

  • DOI
    10.1109/ICCSNT.2011.6182279
  • Filename
    6182279