Abstract
Categorical shape theory can be considered as a formal model of a recognition process, but can it handle grey-level images? In this paper, some of the available pure mathematics, mostly from topology and category theory, that may be useful in this context are considered and the feasibility of such a model is discussed both from the machine-implementation viewpoint and a biological one.
The author would like to thank Gavin Wraith for providing an explanation of Lawvere’s ideas on metric spaces and Andrée Charles Ehresmann for discussions of her ideas on the modelling of brain functions.
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Porter, T. (1994). Can Categorical Shape Theory Handle Grey-level Images?. In: O, YL., Toet, A., Foster, D., Heijmans, H.J.A.M., Meer, P. (eds) Shape in Picture. NATO ASI Series, vol 126. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-03039-4_10
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