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�������պ����ѧѧ�� 2005, Vol. 31 Issue (05) :504-507    DOI:
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Fractal-based covariance function description and classification of natural texture images
Wang Hua, Wang Qi*
Department of Automatic Measurement and Control, Harbin Institute of Technology, Harbin 150001, China

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Abstract�� 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.
Keywords�� Brownian motion   texture description   texture classification   fractal   fractional Brownian motion     
Received 2003-11-17;
About author: �� ��(1975-),��,������ګ����,��ʦ, hitwh@hit.edu.cn.
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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 A, 2005,V31(05): 504-507
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