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Infrared and Visible Image Fusion Objective Evaluation Method

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Information Technology in Biomedicine (ITIB 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1011))

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Abstract

Infrared–visible (IR–VIS) pixel level image fusion has been applied in many fields in which thermal measurements are used. This process provides spatial information about objects and invisible details to infrared images. In medical applications, infrared thermography provides information about physiology and is a supplement of classical diagnostic methods. The purpose of fusion in presented study was to improve human body thermograms. The novel objective fusion results comparison method, based on statistical analysis, has been proposed to indicate the best fusion method. Fusion methods were chosen based on literature and subjective assessment. Resulting images were parameterized with numerical fusion evaluation metrics. Obtained numerical values were cumulated to one parameter, corresponding to one image. These parameters were applied to compare results using Friedman test and post–hoc \(1 \times N\) procedure.

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Acknowledgements

This research is supported by the Polish National Science Center grant No.: UMO-2016/21/B/ST7/02236. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

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Authors and Affiliations

  1. Faculty of Biomedical Engineering, Silesian University of Technology, Zabrze, Poland

    Daniel Ledwoń, Jan Juszczyk & Ewa Pietka

Authors
  1. Daniel Ledwoń
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  2. Jan Juszczyk
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  3. Ewa Pietka
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Corresponding author

Correspondence to Daniel Ledwoń .

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Editors and Affiliations

  1. Faculty of Biomedical Engineering, Silesian University of Technology, Zabrze, Poland

    Ewa Pietka

  2. Faculty of Biomedical Engineering, Silesian University of Technology, Zabrze, Poland

    Pawel Badura

  3. Faculty of Biomedical Engineering, Silesian University of Technology, Gliwice, Poland

    Jacek Kawa

  4. Faculty of Biomedical Engineering, Silesian University of Technology, Zabrze, Poland

    Wojciech Wieclawek

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Ledwoń, D., Juszczyk, J., Pietka, E. (2019). Infrared and Visible Image Fusion Objective Evaluation Method. In: Pietka, E., Badura, P., Kawa, J., Wieclawek, W. (eds) Information Technology in Biomedicine. ITIB 2019. Advances in Intelligent Systems and Computing, vol 1011. Springer, Cham. https://doi.org/10.1007/978-3-030-23762-2_24

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