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Evolutionäre Bildverarbeitung

  • AKTUELLES SCHLAGWORT
  • EVOLUTIONÄRE BILDVERARBEITUNG
  • Published:
Informatik-Spektrum Aims and scope

Zusammenfassung

Im Forschungsgebiet der evolutionären Bildverarbeitung werden evolutionäre Algorithmen zur Lösung verschiedener Probleme aus dem Bereich der maschinellen Bildverarbeitung eingesetzt.

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References

  1. Ebner M (2006) Evolving color constancy. Special Issue on Evolutionary Computer Vision and Image Understanding of Pattern Recognition Letters 27(11):1220–1229

    Google Scholar 

  2. Ebner M (2007) Estimating the spectral sensitivity of a digital sensor using calibration targets. In: Proceedings of the Genetic and Evolutionary Computation Conference, July 7–11, 2007, London, England. ACM, New York, pp 642–649

    Google Scholar 

  3. Heinemann P, Streichert F, Sehnke F, Zell A (2006) Automatic calibration of camera to world mapping in robocup using evolutionary algorithms. In: Proceedings of the IEEE International Congress on Evolutionary Computation, San Francisco, CA. IEEE, pp 1316–1323

  4. Johnson MP, Maes P, Darrell T (1994) Evolving visual routines. In: Rodney A, Maes B, Maes P (eds) Artificial Life IV, Proceedings of the Fourth International Workshop on the Synthesis and Simulation of Living Systems, Cambridge, Massachusetts. The MIT Press, Cambridge, pp 198–209

    Google Scholar 

  5. Lohmann R (1991) Bionische Verfahren zur Entwicklung visueller Systeme. Dissertation, Technische Universität Berlin, Fachbereich 10 Verfahrenstechnik und Energietechnik

  6. Pattern Recognition Letters 27(11), Sonderausgabe, Elsevier, 2006

  7. Poli R (1996) Genetic programming for image analysis. In: Koza JR, Goldberg DE, Fogel DB, Riolo RL (eds) Genetic Programming 1996, Proceedings of the First Annual Conference, July 28–31, 1996, Stanford University. The MIT Press, Cambridge, pp 363–368

    Google Scholar 

  8. Treptow A, Zell A (2004) Combining adaboost learning and evolutionary search to select features for real-time object detection. In: Proceedings of the IEEE Congress on Evolutionary Computation, Portland, Oregon, vol 2. IEEE, pp 2107–2113

  9. Trujillo L, Olague G (2006) Synthesis of interest point detectors through genetic programming. In: Proceedings of the Genetic and Evolutionary Computation Conference 2006, Seattle, Washington, July 8–12. ACM, pp 887–894

  10. Weicker K (2007) Evolutionäre Algorithmen. B.G. Teubner Verlag, Wiesbaden

    Google Scholar 

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Correspondence to Marc Ebner.

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Ebner, M. Evolutionäre Bildverarbeitung. Informatik Spektrum 31, 146–150 (2008). https://doi.org/10.1007/s00287-008-0230-8

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  • DOI: https://doi.org/10.1007/s00287-008-0230-8

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