Volume 31 Issue 05
May  2005
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Wang Hua, Wang Qi. Fractal-based covariance function description and classification of natural texture images[J]. Journal of Beijing University of Aeronautics and Astronautics, 2005, 31(05): 504-507. (in Chinese)
Citation: Wang Hua, Wang Qi. Fractal-based covariance function description and classification of natural texture images[J]. Journal of Beijing University of Aeronautics and Astronautics, 2005, 31(05): 504-507. (in Chinese)

Fractal-based covariance function description and classification of natural texture images

  • Received Date: 17 Nov 2003
  • Publish Date: 31 May 2005
  • To deal with the problem of charactering and classifying natural textures in images, a technique was employed which is based onthe fractional Brownian motion model and its covariance function. The covariance function of fractional Brownian motion was proposed to estimate the Hurst coefficient and constant k which are used to character the natural textures. The feature set has ten feature vectors which are combined with both five features of two sub-texture image. Ten features were based on both the above average gray level image and the below average gray level image rather than based on the original image. Rely on the mean value of texture images, two sub-texture images were obtained. Five features were based on sub-texture image, the horizontal constant,the vertical constant, the 45°directional constant, the horizontal and vertical Hurst coefficient as the distance is 2. 16 natural textures from the Brodatz album were considered, and the classification results show the efficiency of the technique.

     

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