A PDP Approach to Localized Fractal Dimension Computation with Segmentation Boundaries
نویسندگان
چکیده
A parallel distributed processing approach to the computation of localized fractal dimension values in imagery is presented. This approach is a further development of the covering method which requires only nearest neighbor communication. A major benefit of our approach is the ability to readily incorporate any boundary information that may be available. Man y fractal textures or surfaces are fractal only in distribution. With this in mind, we show that comparison of the fractal dimension distribrctions via Kullback-Leibler can give an improved texture discrimination capability over comparison of computed fractal dimension. Results are presented for a set of textures.
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