A three dimensional box counting method for measuring fractal dimensions of 3D models
IMSA '07 Proceedings of the Eleventh IASTED International Conference on Internet and Multimedia Systems and Applications
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Many texture classification schemes require an excessively large image area for texture analysis, use a large number of features to represent each texture or are computationally very demanding. In this paper, we describe a segmentation method using color and fractal dimension for real time texture classification. The box-counting approach is used to estimate the fractal dimension (FD). A seed block which embodies information about color features and FD is used by a region growing method. Experimental results indicate that the proposed method is promising for color texture segmentation. This scheme is computationally very efficient and it is suitedfor texture image recognition.