22 March 1999 Symmetry recognition in images
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This paper is concerned with the problem of separation of data, by a Neural based computer recognition system. To this end certain types of data which are 'tricky' are studied in order to see if they can be separated (i.e. classified) by a neural network or by a Kohonen based classifier. It is shown that there exist data which cannot simply be separated by a nearest distance classifier and yet can be treated well by a neural network, these correspond to the symmetry problem in images.
© (1999) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Kumar Eswaran, Kumar Eswaran, "Symmetry recognition in images", Proc. SPIE 3722, Applications and Science of Computational Intelligence II, (22 March 1999); doi: 10.1117/12.342899; https://doi.org/10.1117/12.342899


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