Automatic learning of image filters using Cartesian genetic programming

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

@Article{journals/icae/ParisPN15,

• author = "P. C. D. Paris and Emerson Carlos Pedrino and Maria do Carmo Nicoletti",
• title = "Automatic learning of image filters using Cartesian genetic programming",
• journal = "Integrated Computer-Aided Engineering",
• year = "2015",
• volume = "22",
• number = "2",
• pages = "135--151",
• keywords = "genetic algorithms, genetic programming, cartesian genetic programming, CGP-based computational model, mathematical morphology, morphological image filters, automatic construction of image filters",
• bibdate = "2015-04-24",
• bibsource = "DBLP, http://dblp.uni-trier.de/db/journals/icae/icae22.html#ParisPN15",
• DOI = "doi:10.3233/ICA-150482",
• size = "17 pages",
• abstract = "This paper proposes a computational modelling for image filtering processes based on the Cartesian Genetic Programming (CGP) methodology, suitable for hardware devices. A computational system named ALIF-CGP (Automatic Learning of Image Filters Using Cartesian Genetic Programming) was designed as a simulator for automatically constructing a sequence of operators, mainly morphological and logical, which can filter a particular shape of image. ALIF-CGP is a convenient option for executing the non-trivial task, usually manually done by human experts, of selecting the sequence of nonlinear operators to be used in morphological filters. ALIF-CGP has already a built-in pool of morphological and logical operators, which can be used by default. The user, however, has the flexibility of choosing only those operators which are of interest or then, conveniently introduce new ones. The system expects as input a pair of images (input-target). The flexibility given by the CGP-based computational modeling used by ALIF-CGP as well as its efficiency and satisfactory results, obtained in various image processing case studies, recommend its use when developing a hardware implementation for the purposes of image filtering. A few case studies using ALIF-CGP are presented and comparatively analysed in relation to previous results available in the literature.",
• notes = "Matlab",

}

Genetic Programming entries for Paulo Cesar Donizeti Paris Emerson Carlos Pedrino Maria do Carmo Nicoletti

Citations