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Detection of Important Features from Images Using Heuristic Approach

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Information and Software Technologies (ICIST 2017)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 756))

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Abstract

Digital systems offer high quality images, for which information is encoded with precision. Pixels represent the features of objects, therefore we can use this information to detect purposes. In this article we present our research on methodology based on a heuristic approach. A model of bio inspired algorithm was used to search between the pixels and evaluate which of them are representing important components of the objects. Therefore this methodology serves as detection model to find the features of interest. Presented research results show that the developed approach show high potential and proposed methodology makes the search efficient.

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Acknowledgments

Authors acknowledge contribution to this project to the Diamond Grant 2016 No. 0080/DIA/2016/45 funded by the Polish Ministry of Science and Higher Education.

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Authors and Affiliations

  1. Institute of Mathematics, Silesian University of Technology, Kaszubska 23, 44-100, Gliwice, Poland

    Dawid Połap & Marcin Woźniak

Authors
  1. Dawid Połap
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  2. Marcin Woźniak
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Correspondence to Marcin Woźniak .

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Editors and Affiliations

  1. Kaunas University of Technology, Kaunas, Lithuania

    Robertas Damaševičius

  2. Kaunas University of Technology, Kaunas, Lithuania

    Vilma Mikašytė

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Połap, D., Woźniak, M. (2017). Detection of Important Features from Images Using Heuristic Approach. In: Damaševičius, R., Mikašytė, V. (eds) Information and Software Technologies. ICIST 2017. Communications in Computer and Information Science, vol 756. Springer, Cham. https://doi.org/10.1007/978-3-319-67642-5_36

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  • DOI: https://doi.org/10.1007/978-3-319-67642-5_36

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  • Online ISBN: 978-3-319-67642-5

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