Fractal characterization of signals is well suited in analysis of some time series data and in classification of natural shapes and textures. A Maximum Likelihood Estimator (MLE) is used to measure the parameter H which is directly related to the fractal dimension. The robustness of the estimator and the performance of the method are demonstrated on datasets generated using a variety of techniques. Finally the characterization is used in segmentation of composite images of natural textures.
|Number of pages||13|
|Journal||Proceedings of SPIE - The International Society for Optical Engineering|
|State||Published - Oct 29 1993|
|Event||Neural and Stochastic Methods in Image and Signal Processing II 1993 - San Diego, United States|
Duration: Jul 11 1993 → Jul 16 1993