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1D Moment Signatures for Random Colored Texture Characterization
Jacques Brochard
Majdi Khoudeir
  DOI :  10.2352/CGIV.2002.1.1.art00084  Published Online :  January 2002
Abstract

In this article, we develop a new method of characterization of colored random textures. This method is based on the use of the chromaticity diagram combined with the 1D-geometric moments. In CIE XYZ color space, each pixel of an image is associated with a point within chromatic space, in which a color is characterized by its wavelength and its purity factor. Thus, we elaborate an attribute vector which includes color and graylevel characteristics. Color characteristics are computed by means of the moments of the purity factor histogram and of the wavelength histogram. The energy assigned to each pixel is taken into account by computing the moments of the gray-level histogram. In addition, the random nature of texture is taken into account by the variance of estimation error of a 2D-AR model. The relevance of this characterization has been evaluated by means of a classification process applied to 720 images of granite stones taken from the “marbleandgranite.com” database. We show that a attribute vector of dimension 7 makes it possible to reach a percentage of correct classification of 91%.

Journal Title : Conference on Colour in Graphics, Imaging, and Vision
Publisher Name : Society of Imaging Science and Technology
Publisher Location : 7003 Kilworth Lane, Springfield, VA 22151, USA
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 DOI 10.2352/CGIV.2002.1.1.art00084
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Jacques Brochard, Majdi Khoudeir, "1D Moment Signatures for Random Colored Texture Characterization"  in Proc. IS&T CGIV 2002 First European Conf. on Colour in Graphics, Imaging, and Vision,  2002,  pp 398 - 401,  https://doi.org/10.2352/CGIV.2002.1.1.art00084

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  Copyright statement 
Copyright © Society for Imaging Science and Technology 2002
72010351
Conference on Colour in Graphics, Imaging, and Vision
conf colour graph imag vis
2158-6330
Society of Imaging Science and Technology
7003 Kilworth Lane, Springfield, VA 22151, USA
2158-6330(20020101)2002:1L.398;1-
cgiv_v2002n1/splitsection84.xml
/ist/cgiv/2002/00002002/00000001/art00084
Articles
1D Moment Signatures for Random Colored Texture Characterization
BrochardJacques
KhoudeirMajdi
01012002
2002
1
398
401
2002
In this article, we develop a new method of characterization of colored random textures. This method is based on the use of the chromaticity diagram combined with the 1D-geometric moments. In CIE XYZ color space, each pixel of an image is associated with a point within chromatic space, in which a color is characterized by its wavelength and its purity factor. Thus, we elaborate an attribute vector which includes color and graylevel characteristics. Color characteristics are computed by means of the moments of the purity factor histogram and of the wavelength histogram. The energy assigned to each pixel is taken into account by computing the moments of the gray-level histogram. In addition, the random nature of texture is taken into account by the variance of estimation error of a 2D-AR model. The relevance of this characterization has been evaluated by means of a classification process applied to 720 images of granite stones taken from the “marbleandgranite.com” database. We show that a attribute vector of dimension 7 makes it possible to reach a percentage of correct classification of 91%.