On Two Approaches to Image Processing Algorithm Design for Binary Images using GP

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@InProceedings{Quintana:evowks03,

• author = "Marcos I. Quintana and Riccardo Poli and Ela Claridge",
• title = "On Two Approaches to Image Processing Algorithm Design for Binary Images using {GP}",
• booktitle = "Applications of Evolutionary Computing, EvoWorkshops2003: Evo{BIO}, Evo{COP}, Evo{IASP}, Evo{MUSART}, Evo{ROB}, Evo{STIM}",
• year = "2003",
• editor = "G{\"u}nther R. Raidl and Stefano Cagnoni and Juan Jes\'us Romero Cardalda and David W. Corne and Jens Gottlieb and Agn\`es Guillot and Emma Hart and Colin G. Johnson and Elena Marchiori and Jean-Arcady Meyer and Martin Middendorf",
• volume = "2611",
• series = "LNCS",
• pages = "422--431",
• address = "University of Essex, England, UK",
• publisher_address = "Berlin",
• month = "14-16 " # apr,
• organisation = "EvoNet",
• publisher = "Springer-Verlag",
• keywords = "genetic algorithms, genetic programming, evolutionary computation, applications",
• isbn13 = "978-3-540-36605-8",
• DOI = "doi:10.1007/3-540-36605-9_39",
• abstract = "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. The second is based on Sub-Machine-Code GP, a technique to speed up and extend GP based on the idea of exploiting the internal parallelism of sequential CPUs. In both cases the objective is to find programs which can transform binary images of a certain kind into other binary images containing just a particular characteristic of interest. In particular, here we focus on the extraction of three different features in music sheets.",
• notes = "EvoWorkshops2003",

}

Genetic Programming entries for Marcos Ivan Quintana-Hernandez Riccardo Poli Ela Claridge

Citations