• DocumentCode
    3179426
  • Title

    A new invariant representation for color images and its application

  • Author

    Ibrahim, Abdelhameed F. ; Ali, Hesham A.

  • Author_Institution
    Comput. & Syst. Eng. Dept., Mansoura Univ., Mansoura, Egypt
  • fYear
    2011
  • fDate
    Nov. 29 2011-Dec. 1 2011
  • Firstpage
    267
  • Lastpage
    272
  • Abstract
    Factors such as shading, shadow, and highlight, observed from object surfaces in a scene, affect seriously the appearance and analysis of the color images. In this paper, we propose a new invariant representation that is derived from the standard dichromatic reflection model for inhomogeneous dielectric and the extended dichromatic reflection model for homogeneous metal. The illumination color is estimated from the specular reflection component on inhomogeneous surfaces without using a reference white standard. The overall performance of the proposed invariant representation is examined in experiments using real-world objects including metals and dielectrics. The feasibility of effective edge detection is introduced and compared with the state-of-the-art invariant methods.
  • Keywords
    edge detection; image colour analysis; image representation; metals; color images; dichromatic reflection model; edge detection; highlight; homogeneous metal; inhomogeneous dielectric; invariant representation; shading; shadow; specular reflection component; standard dichromatic reflection model; Color; Image color analysis; Image edge detection; Lighting; Metals; Nonhomogeneous media; Vectors; color image processing; dichromatic reflection models; image edge detection; image representation; invariant feature;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Engineering & Systems (ICCES), 2011 International Conference on
  • Conference_Location
    Cairo
  • Print_ISBN
    978-1-4577-0127-6
  • Type

    conf

  • DOI
    10.1109/ICCES.2011.6141054
  • Filename
    6141054