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1D Moment Signatures for Random Colored Texture Characterization

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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%.
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Document Type: Research Article

Publication date: January 1, 2002

More about this publication?
  • Started in 2002 and merged with the Color and Imaging Conference (CIC) in 2014, CGIV covered a wide range of topics related to colour and visual information, including color science, computational color, color in computer graphics, color reproduction, volor vision/psychophysics, color image quality, color image processing, and multispectral color science. Drawing papers from researchers, scientists, and engineers worldwide, DGIV offered attendees a unique experience to share with colleagues in industry and academic, and on national and international standards committees. Held every year in Europe, DGIV papers were more academic in their focus and had high student participation rates.

    Please note: For purposes of its Digital Library content, IS&T defines Open Access as papers that will be downloadable in their entirety for free in perpetuity. Copyright restrictions on papers vary; see individual papers for details.

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