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Hybrid implementation of evolutionary algorithms in FPGAs for automatic generation of morphological image filters

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Warianty tytułu
PL
Wykorzystanie hybrydowego algorytmu bazuj ˛acego na algorytmach genetycznych do automatycznego generowania filtrów grafiki
Języki publikacji
EN
Abstrakty
EN
This paper proposes a novel hybrid software/hardware system to automatically create filters for image processing based on genetic algorithms and mathematical morphology. Experimental results show that the hybrid system, implemented using a combination of a NIOS-II processor and a custom hardware accelerator in an Altera FPGA device, is able to generate solutions that are equivalent to the software version in terms of quality in approximately one third of the time.
PL
W artykule zaproponowano nowe hybrydowe oprogramowanie do automatycznego tworzenia filtrów grafiki bazuj ˛acych na algorytmach genetycznych i morfologii matematycznej. Eksperymenty wykazały ˙ze proponowany system wykorzystuj ˛acy procesor NIOS-II i Altera FPGA jest w stanie generowa´c rozwi ˛azanie niemal trzy razy szybciej ni˙z dotychczas stosowane systemy.
Rocznik
Strony
12--16
Opis fizyczny
Bibliogr. 13 poz., rys., tab.
Twórcy
autor
  • Department of Computer Science, Federal University of Sao Carlos, Sao Carlos, Brazil
autor
  • Department of Computer Science, Federal University of Sao Carlos, Sao Carlos, Brazil
  • Department of Computer Science, Federal University of Sao Carlos, Sao Carlos, Brazil
autor
  • Department of Electronic Engineering, The University of York, York, UK
  • Department of Electronic Engineering, The University of York, York, UK
  • Department of Electronic Engineering, The University of York, York, UK
  • Department of Computer Science, Federal University of Sao Carlos, Sao Carlos, Brazil
Bibliografia
  • [1] J. H. Holland, Adaptation in Natural and Artificial Systems. University of Michigan Press, Ann Arbor, re-issued by MIT Press, 1992.
  • [2] M. Mitchell, An Introduction to Genetic Algorithms. Cambridge, MA, USA: MIT Press, 1999.
  • [3] J. R. Koza, Genetic programming: On the programming of computers by natural selection. Cambridge, Mass.: MIT Press, 1992.
  • [4] R. E. W. R. C. Gonzalez, Digital Image Processing. Upper Saddle River, New Jersey, Prentice Hal, 2002.
  • [5] O. M. Filho and H. V. Neto, Processamento Digital de Imagens. Rio de Janeiro: Brasport, 1999.
  • [6] J. Wang, “Design and implementation of a virtual reconfigurable architecture for different applications of intrinsic evolvable hardware," IET Computers & Digital Techniques, vol. 2, pp. 386-400(14), September 2008. [Online]. Available: https://digital-library.theiet.org/content/journals/10.1049/ iet-cdt_20070124
  • [7] M. I. Quintana, R. Poli, and E. Claridge, “Morphological algorithm design for binary images using genetic programming," Genetic Programming and Evolvable Machines, vol. 7, no. 1, pp. 81-102, Mar 2006. [Online]. Available: https: //doi.org/10.1007/s10710-006-7012-3
  • [8] I. Yoda, K. Yamamoto, and H. Yamada, “Automatic acquisition of hierarchical mathematical morphology procedures by genetic algorithms," Image and Vision Computing, vol. 17, pp. 749-760, 08 1999.
  • [9] E. C. Pedrino, J. H. Saito, and V. O. Roda, “Architecture for binary mathematical morphology reconfigurable by genetic programming," in 2010 VI Southern Programmable Logic Conference (SPL), March 2010, pp. 93-98.
  • [10] M. Almeida and E. Pedrino, “Hybrid evolvable hardware for automatic generation of image filters," Integrated Computer-Aided Engineering, vol. 25, pp. 1-15, 01 2018.
  • [11] J. Serra, Image Analysis and Mathematical Morphology. Orlando, FL, USA: Academic Press, Inc., 1983.
  • [12] J. Facon, Morfologia Matemática: Teoria e Exemplos. Editora Universitária da Pontifícia Universidade Católica do Paraná, 1996.
  • [13] S. G. M. Hossain, C. A. Nelson, and P. Dasgupta, “Hardware design and testing of modred: A modular self-reconfigurable robot system," in Advances in Reconfigurable Mechanisms and Robots I, J. S. Dai, M. Zoppi, and X. Kong, Eds. London: Springer London, 2012, pp. 515-523.
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-4bfe6dd8-208e-4a16-bffd-241f4ef398af
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