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Description
  • This paper presents a new innovative technique for high level image filter design. At first, the evolution framework has been designed and implemented. This framework should maximize reusability and robustness of source code and performance of proposed filters. This article describes part of the framework which deals with grammar-guided genetic programming and its use case. The use case shows how it is possible to make an image filter design by automatic process of evolution. The concrete example is shown on the recognition of artery in medical screening. The main contribution of this work is to facilitate and improve the productivity of automatic image filter design.
  • This paper presents a new innovative technique for high level image filter design. At first, the evolution framework has been designed and implemented. This framework should maximize reusability and robustness of source code and performance of proposed filters. This article describes part of the framework which deals with grammar-guided genetic programming and its use case. The use case shows how it is possible to make an image filter design by automatic process of evolution. The concrete example is shown on the recognition of artery in medical screening. The main contribution of this work is to facilitate and improve the productivity of automatic image filter design. (en)
Title
  • Grammar Guided Genetic Programming for Automatic Image Filter Design
  • Grammar Guided Genetic Programming for Automatic Image Filter Design (en)
skos:prefLabel
  • Grammar Guided Genetic Programming for Automatic Image Filter Design
  • Grammar Guided Genetic Programming for Automatic Image Filter Design (en)
skos:notation
  • RIV/00216305:26220/10:PU88008!RIV11-MSM-26220___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • S, Z(MSM0021630513)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 260955
http://linked.open...ai/riv/idVysledku
  • RIV/00216305:26220/10:PU88008
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Evolutin Framework, Genetic Algorithms, Genetic Programming, Context Free Grammar, Image Filter Design (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [7727BC556FEB]
http://linked.open...v/mistoKonaniAkce
  • Ostrava
http://linked.open...i/riv/mistoVydani
  • Ostrava
http://linked.open...i/riv/nazevZdroje
  • The 10th International Conference on Knowledge in Telecommunication Technologies and Optics
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Beneš, Radek
  • Burget, Radim
  • Karásek, Jan
  • Nagy, Ľuboš
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
http://linked.open...n/vavai/riv/zamer
number of pages
http://purl.org/ne...btex#hasPublisher
  • Vysoká škola báňská - Technická univerzita Ostrava
https://schema.org/isbn
  • 978-80-248-2330-0
http://localhost/t...ganizacniJednotka
  • 26220
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