• DocumentCode
    2683160
  • Title

    Edge detection on object color

  • Author

    Tsang, Peter W M ; Tsang, W.H.

  • Author_Institution
    Dept. of Electron. Eng., City Univ. of Hong Kong, Hong Kong
  • Volume
    3
  • fYear
    1996
  • fDate
    16-19 Sep 1996
  • Firstpage
    1049
  • Abstract
    In this paper a novel scheme for color edge detection is presented to minimize the false edge detection caused by specular reflection. The method is based on the dichromatic reflection model proposed by Shafer (1985) to describe the object reflection properties in the HSV color space, and is different from existing color edge detection techniques in three major aspects. First, our analysis accounts for multiple light sources and is less restrictive than techniques which are based on the assumption of single light source. Second, we have incorporated the V-component on top of the hue H to include the shading information which is absent in the latter. This effectively added in a new dimension in separating the regions which are similar in hue, but different in shade. Third, we had discovered that a single color edge operator is inadequate for detecting discontinuities in all conditions with equal precision. The V-component, for example, is more relevant than H in describing the edge contour when S is low, and vice versa. In between these two extremes, both components are found to have equal significance
  • Keywords
    edge detection; feature extraction; image colour analysis; image segmentation; light reflection; HSV color space; V-component; color images; dichromatic reflection model; discontinuities detection; edge contour; edge detection; gradient based edge operator; hue; multiple light sources; object reflection properties; regions separation; shading information; specular reflection; Color; Colored noise; Computer vision; Data mining; Dielectric materials; Image edge detection; Image segmentation; Light sources; Optical reflection; Solid modeling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 1996. Proceedings., International Conference on
  • Conference_Location
    Lausanne
  • Print_ISBN
    0-7803-3259-8
  • Type

    conf

  • DOI
    10.1109/ICIP.1996.561021
  • Filename
    561021