• DocumentCode
    2269298
  • Title

    A Color HSV Image Edge Detection Method Based on Gradient Extreme Value

  • Author

    Jing-xiu Zhao ; Ming-yan Liu

  • Author_Institution
    Sch. of Comput. Sci., Qufu Normal Univ., Qufu
  • Volume
    3
  • fYear
    2008
  • fDate
    20-22 Dec. 2008
  • Firstpage
    381
  • Lastpage
    384
  • Abstract
    In order to be better for color image edge detection,this paper analyze the existing problems of gradient algorithm with HSV color image characteristics and the separation by color hue, saturation and brightness information and proposes a color image edge detection method based on gradient extreme value of the local region. The algorithm extracts the edge pixels directly in the local area boundary detection window, first calculate the distance of hue, saturation and brightness between two pixels and then take their sum as the final color distance. The experimental results indicate that this method could obtain more real edges with better continuity.
  • Keywords
    edge detection; gradient methods; image colour analysis; color HSV image edge detection; color brightness information; color hue information; color saturation information; gradient extreme value algorithm; Application software; Brightness; Computer science; Euclidean distance; Humans; Image analysis; Image color analysis; Image edge detection; Information technology; Visual perception; color image; edge detection; extremum; gradient operator;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Information Technology Application, 2008. IITA '08. Second International Symposium on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-0-7695-3497-8
  • Type

    conf

  • DOI
    10.1109/IITA.2008.9
  • Filename
    4740023