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New Trends in Analysis and Interdisciplinary Applications pp 59–62Cite as

Birkhäuser

Image Processing Algorithms in Different Areas of Science

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Part of the book series: Trends in Mathematics ((RESPERSP))

Abstract

The main objective of this paper is to present some of the key issues in the field of computer processing of digital images. They are used in a large amount of fields of science and education. Using modern controllers (MS Kinect, PS Move) can recognize and interpret the gestures of the user. It can be used in the development of interesting applications for teaching tools.

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References

  1. T. Hachaj, International Journal of Information Management 02/2015, 2015, Knowledge Bricks-Educational immersive reality environment

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  2. R. Hartley, A. Zisserman Multiple View Geometry in Computer Vision (Cambridge University Press, Cambridge, 2001)

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  3. W. Kasprzak, Rozpoznawanie obrazów i sygnałów mowy, wyd. 1, Warszawa (2009), Rozpoznawanie znanego obiektu sztywnego, pp. 162–167

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Author information

Authors and Affiliations

  1. Pedagogical University of Kraków, ul. Podchoraążych 2, 30-084, Kraków, Poland

    Mateusz Muchacki

Authors
  1. Mateusz Muchacki
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Correspondence to Mateusz Muchacki .

Editor information

Editors and Affiliations

  1. Faculty of Information Technology, Macau University of Science and Technology, Taipa, Macao

    Pei Dang

  2. Department of Mathematics, University of Aveiro, Aveiro, Portugal

    Min Ku

  3. Faculty of Science and Technology, Department of Mathematics, University of Macau, Taipa, Macao

    Tao Qian

  4. Department of Mathematics, University of Torino, Torino, Italy

    Luigi G. Rodino

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Muchacki, M. (2017). Image Processing Algorithms in Different Areas of Science. In: Dang, P., Ku, M., Qian, T., Rodino, L. (eds) New Trends in Analysis and Interdisciplinary Applications. Trends in Mathematics(). Birkhäuser, Cham. https://doi.org/10.1007/978-3-319-48812-7_8

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