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Books

  1. Tizhoosh, Hamid R., Ventresca, Mario
    Oppositional Concepts in Computational Intelligence
    Springer, 2008, XII, 328 p. 72 illus., Hardcover
    ISBN: 978-3-540-70826-1
  2. Tizhoosh, H.R.
    Fuzzy Image Processing (in German)
    Springer, 1997, ISBN: 3-540-63137-2


Book Chapters

  1. Mario Ventresca, Shahryar Rahnamayan, and Hamid Reza Tizhoosh
    The Use of Opposition for Decreasing Function Evaluations in Population-Based Search
    In Y. Tenne and C.-K. Goh (Eds.): Computational Intelligence in Optimization, ALO 7, pp. 49–71. Springer-Verlag Berlin Heidelberg 2010
  2. Farhang Sahba, Hamid R. Tizhoosh and Magdy M.A. Salama
    Reinforced Medical Image Segmentation
    In Computational Intelligence in Medical Imaging:
    Techniques & Applications, CRC, Edited by Gerald Schaefer , Aboul Ella Hassanien , and Jianmin Jiang, Chapman and Hall/CRC 2009, Pages 327–345
  3. H.R.Tizhoosh
    Type II Fuzzy Image Segmentation
    In Fuzzy Sest and Their Extensions: Representation, Aaggregation and Models, Studies in Fuzziness and Soft Computing, 2008, Volume 220/2008, pp. 607-619
  4. Mahootchi,M., Tizhoosh, H.R. and K. Ponnambalam
    Reservoir Operation Optimization by Reinforcement Learning. Chapter 8 in Contemporary Modeling of Urabn Water Systems, Monograph 15. James, Irvine, McBean, Pitt and Wright, Eds. ISBN 0-9736716-3-7. Pub by CHI, Guelph, Ontario,  pp. 165-184, 2007
  5. M. Shokri, H.R. Tizhoosh, M. Kamel
    The Outline of Reinforcement Learning Technique for E-Learning Applications
    To be published in Samuel Pierre (ed.) “E-Learning Networked Environments and Architectures: A Knowledge Processing Perspective”, Springer Book Series, 2005.
  6. Tizhoosh, H.R.
    Observer-Dependent Image Enhanecement
    In: Fuzzy Filters forImage Processing
    , M. Nachtegael, D. Van der Weken, D. Van De Ville & E.E. Kerre (Eds.), Springer, Studies in Fuzziness and Soft Computing, 2002
  7. Tizhoosh, H.R.
    Fast and Robust Fuzzy Edge Detection
    In: Fuzzy Filters forImage Processing, M. Nachtegael, D. Van der Weken, D. Van De Ville & E.E. Kerre (Eds.), Springer, Studies in Fuzziness and Soft Computing, 2002
  8. Tizhoosh, H.R.
    Fuzzy Image Enhancement: An Overview
    In: Kerre, E., Nachtegael, M. (Eds.): Fuzzy Techniques in Image Processing, Springer, Studies in Fuzziness and Soft Computing, pp. 137-171, 2000, ISBN: 3-7908-1304-4.
  9. Tizhoosh, H.R., Haußecker, H.
    Fuzzy Image Processing: An Overview
    In: Jähne, B., Haußecker, H. (Eds.), Computer Vision and Applications: A Guide for Students and Practitioners, Academic Press, Boston, 2000, pp. 541-576, ISBN 0-12-379777-2.
  10. Tizhoosh, H.R., Haußecker, H.
    Fuzzy Image Processing: An Overview
    In: Jähne, B., Haußecker, H., Geißler, P. (Eds.), Handbook on Computer Vision and Applications, Academic Press, Boston, 1999, pp. 683-727, ISBN: 0123797705
  11. Tizhoosh, H.R., Krell, G., Michaelis, B.
    Enhancement of Megavoltage Images in Radiation Therapy Using Fuzzy and Neural Image Processing Techniques
    In: P.S.Szczepaniak, P.J.G.Lisboa, S.Tsumoto (Editors): Fuzzy Systems in Medicine, “Studies in Fuzziness and Soft Computing”, Physica-Verlag, pp.316-334, 1999, ISBN: 3-7908-1263-3
  12. Tizhoosh, H.R.
    On Thresholding and Potentials of Fuzzy Techniques (in German!). In: Dassow, J., Kruse, R. (Eds.): Informatik’98: Informatik zwischen Bild und Sprache, Springer, 1998, pp. 97-106

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