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RETRIEVING THERMAL MEDICAL IMAGES

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Computer Vision and Graphics

Part of the book series: Computational Imaging and Vision ((CIVI,volume 32))

Abstract

Previous research on the automated processing on thermal medical images have typically focused on specialised applications like the detection of breast cancer. We propose the application of content-based image retrieval (CBIR) to medical infrared images. CBIR allows the retrieval of similar images based on features extracted directly from image data. Hence, image retrieval for a thermal image that shows symptoms of a certain disease will provide visually similar cases which will usually represent medically relevant cases. The image features we propose for this purpose are a set of complex moment invariants of the thermal images.

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Author information

Authors and Affiliations

  1. School of Computing and Technology, Nottingham Trent University, Nottingham, U.K.

    Gerald Schaefer

  2. Applied Computing, Derbyshire Business School, University of Derby, Derby, U.K.

    Shao Ying Zhu & Bryan Jones

Authors
  1. Gerald Schaefer
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  2. Shao Ying Zhu
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  3. Bryan Jones
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Editor information

Editors and Affiliations

  1. Silesian University of Technology, Gliwice, Poland

    K. Wojciechowski

  2. Silesian University of Technology, Gliwice, Poland

    B. Smolka

  3. Silesian University of Technology, Gliwice, Poland

    H. Palus

  4. The University of Western Australia, Crawley, Australia

    R.S. Kozera

  5. Warsaw University of Technology, Warsaw, Poland

    W. Skarbek

  6. The University of Western Australia, Crawley, Australia

    L. Noakes

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© 2006 Springer

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Schaefer, G., Ying Zhu, S., Jones, B. (2006). RETRIEVING THERMAL MEDICAL IMAGES. In: Wojciechowski, K., Smolka, B., Palus, H., Kozera, R., Skarbek, W., Noakes, L. (eds) Computer Vision and Graphics. Computational Imaging and Vision, vol 32. Springer, Dordrecht. https://doi.org/10.1007/1-4020-4179-9_133

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  • DOI: https://doi.org/10.1007/1-4020-4179-9_133

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-1-4020-4178-5

  • Online ISBN: 978-1-4020-4179-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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