Using Dimension Theory to Analyze and Classify the Generation of Fractal Sets

dc.contributor.authorCasey, Stephen D.en_US
dc.contributor.departmentISRen_US
dc.date.accessioned2007-05-23T10:01:12Z
dc.date.available2007-05-23T10:01:12Z
dc.date.issued1996en_US
dc.description.abstractThis article discusses the interplay in fractal geometry occurring between computer programs for developing (approximations of) fractal sets and the underlying dimension theory. The computer is ideally suited to implement the recursive algorithms needed to create these sets, thus giving us a laboratory for studying fractals and their corresponding dimensions. Moreover, this interaction between theory and procedure goes both ways. Dimension theory can be used to classify and understand fractal sets. This allows us, given a fixed generating pattern, to describe the resultant images produced by various programs. Thus, dimension theory can be used as a tool which enables to predict and classify behavior of certain fractal generating algorithms.<P>We also tie these two perspectives in with some of the history of the subject. Four examples of fractal sets developed around the turn of the century are introduced and studied from both classical and modern viewpoints. Then, definitions and sample calculations of fractal and Hausdorff-Besicovitch dimension are given. We discuss various methods for extracting dimension from given fractal sets. Finally, dimension theory is used to classify imagesen_US
dc.format.extent1525936 bytes
dc.format.mimetypeapplication/pdf
dc.identifier.urihttp://hdl.handle.net/1903/5734
dc.language.isoen_USen_US
dc.relation.ispartofseriesISR; TR 1996-4en_US
dc.subjectimage processingen_US
dc.subjectfractal geometry dimension theoryen_US
dc.subjectrecursive algorithmsen_US
dc.subjectIntelligent Control Systemsen_US
dc.titleUsing Dimension Theory to Analyze and Classify the Generation of Fractal Setsen_US
dc.typeTechnical Reporten_US

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