Skip to main content
padlock icon - secure page this page is secure

A Color Image Classification by Means of Image Transformations

Buy Article:

$17.00 + tax (Refund Policy)

We have previously studied the approaches which permit to associate a texture to an image, and some properties of such transformations. To do so, we use image transformations which act on the pixels of the original image. Some of these transformations have the following property: they statistically mix in a very homogeneous way the pixels of the image. We say that such a transformation is a Quasi-Mixing Transformation (or QM-transformation for short).

For an image, with the use of a QM-transformation we obtain a locally very homogeneous spatial representation of this image (which was previously not homogeneous). This representation appears to be a texture. It is possible to define criteria which permit to quantify the local homogeneity degree of this texture in order, for example, to extract some statistical attributes from a reduced part of the image.

We show that the statistical model of the texture that we obtain allows to define a representation space in order to discriminate the texture classes and thus the colour images.
No Reference information available - sign in for access.
No Citation information available - sign in for access.
No Supplementary Data.
No Article Media
No Metrics

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.

  • Information for Authors
  • Submit a Paper
  • Subscribe to this Title
  • Membership Information
  • Terms & Conditions
  • Ingenta Connect is not responsible for the content or availability of external websites
  • Access Key
  • Free content
  • Partial Free content
  • New content
  • Open access content
  • Partial Open access content
  • Subscribed content
  • Partial Subscribed content
  • Free trial content
Cookie Policy
X
Cookie Policy
Ingenta Connect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more