• DocumentCode
    2824578
  • Title

    Texture Recognition Based Natural Gray Images Coloring Technique

  • Author

    Semary, N.A. ; Hadhoud, M.M. ; El-Kilani, W.S. ; Ismail, N.A.

  • Author_Institution
    Menofia Univ, Menofia
  • fYear
    2007
  • fDate
    13-15 March 2007
  • Firstpage
    1
  • Lastpage
    12
  • Abstract
    In this paper, we propose a new technique for computer coloring gray scale images. This technique works for texture based images like natural scenes. It´s based on segmenting the image into different regions according to their textures and then classifying these textures to predefined texture classes to get their real colors. Recognition of these textures is performed by matching these textures with a training set stored in a special database. Most of authors working in coloring of gray scale images have used primitive methods for coloring which are both inaccurate and limited. At the end of this paper we show that our coloring system has succeeded to colorize the natural gray images with real colors in high quality.
  • Keywords
    image colour analysis; image recognition; image segmentation; image texture; image segmenting; natural gray images coloring technique; primitive methods; special database; texture recognition; textures matching; Back; Bandwidth; Brightness; Color; Image databases; Image recognition; Image segmentation; Layout; Motion pictures; Scanning electron microscopy;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Radio Science Conference, 2007. NRSC 2007. National
  • Conference_Location
    Cairo
  • Print_ISBN
    977-5031-86-9
  • Type

    conf

  • DOI
    10.1109/NRSC.2007.371374
  • Filename
    4234121