abstract = "This paper describes an approach to using GP for image
analysis based on the idea that image enhancement,
feature detection and image segmentation can be
re-framed as image filtering problems. GP can be used
to discover efficient optimal filters which solve such
problems. However, in order to make the search feasible
and effective, terminal sets, function sets and fitness
functions have to meet some requirements. In the paper
these requirements are described and terminals,
functions and fitness functions that satisfy them are
proposed. Some preliminary experiments are also
reported in which GP (with the mentioned
characteristics) is applied to the segmentation of the
brain in magnetic resonance images (an extremely
difficult problem for which no simple solution is
known) and compared with artificial neural nets.",