On two approaches to image processing algorithm design for binary images using GP

摘要: In this paper we describe and compare two different approaches to design image processing algorithms for binary images using Genetic Programming (GP). The first approach is based on the use of mathematical morphology primitives. second Sub-Machine-Code GP: a technique speed up extend GP idea exploiting internal parallelism sequential CPUs. both cases objective find programs which can transform certain kind into other containing just particular characteristic interest. particular, here focus extraction three features in music sheets.