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Pattern Recognition Using Fractals

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2 Author(s)
Sharp, David W.N. ; Imperial College of Science, UK ; While, R.Lyndon

We present a novel algorithm for the automatic recognition and classification of fractally-encoded images. The algorithm can recognise images from a fractal transformation library in the presence of scaling, displacement and rotation and is robust in the presence of noise. The algorithm forms the basis for a more general recognition mechanism if non-fractal images are encoded as fractal pictures using Barnsley's Collage Theorem. The algorithm is a member of a recently-discovered novel class of "Communication-Intensive Massively-Parallel" (CIMP) algorithms that have already been used for sorting, tessellation of the plane and pitch-period detection, and which show great promise for use in other application areas.

Published in:

Parallel Processing, 1993. ICPP 1993. International Conference on  (Volume:3 )

Date of Conference:

16-20 Aug. 1993