Inproceedings,
Genetic Programming for Image Analysis
Genetic Programming 1996: Proceedings of the First Annual Conference, page 363--368. Stanford University, CA, USA, MIT Press, (28--31 July 1996)
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 filtering problems. GP can discover
efficient optimal filters which solve such problems but
in order to make the search feasible and effective,
terminal sets, function sets and fitness functions have
to meet some requirements. We describe these
requirements and we propose terminals, functions and
fitness functions that satisfy them. Experiments are
reported in which GP is applied to the segmentation of
the brain in medical images and is compared with
artificial neural nets.
