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Innovative Simulation Systems pp 33–46Cite as

The Method of Developing the Invariant Functions Vector for Objects Recognition from a Given Objects Set

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Part of the book series: Studies in Systems, Decision and Control ((SSDC,volume 33))

Abstract

The goal of the following paper was to develop the methodology of recognising a given object out of other objects in the grey scale images. We have presented the method which utilises moment invariants for creating model vectors which define the features of the recognised object. Moreover, we have discussed the rules of creating the model vectors which guarantee differentiation of the given object classes. We have put forward the method of recognising an object in the image. This method is based on searching the points in the image for which there is minimal distance between the model vector and current vector—calculated for each point of the image. On top of that, this study presents the examples of the object recognising by means of the developed method.

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Author information

Authors and Affiliations

  1. Institute of Automatic Control, Silesian University of Technology, Akademicka 16 Street, Gliwice, Poland

    Zygmunt Kuś & Aleksander Nawrat

Authors
  1. Zygmunt Kuś
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  2. Aleksander Nawrat
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Corresponding author

Correspondence to Zygmunt Kuś .

Editor information

Editors and Affiliations

  1. Institute of Automatic Control, Silesian University of Technology, Gliwice, Poland

    Aleksander Nawrat

  2. Institute of Automatic Control, Silesian University of Technology, Gliwice, Poland

    Karol Jędrasiak

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Kuś, Z., Nawrat, A. (2016). The Method of Developing the Invariant Functions Vector for Objects Recognition from a Given Objects Set. In: Nawrat, A., Jędrasiak, K. (eds) Innovative Simulation Systems. Studies in Systems, Decision and Control, vol 33. Springer, Cham. https://doi.org/10.1007/978-3-319-21118-3_3

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  • DOI: https://doi.org/10.1007/978-3-319-21118-3_3

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-21117-6

  • Online ISBN: 978-3-319-21118-3

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