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
Link To Document :
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