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Wavelet Based Medical Image Fusion Using Filter Masks

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Trends in Intelligent Robotics (FIRA 2010)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 103))

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Abstract

This paper deals with convolution based image fusion using filter masks and reviews the performance of each with respect to qualitative and quantitative strategies. Fusion is performed using discrete wavelet transformation at two levels. The low and high frequency coefficients obtained are subjected to separate fusion rules. The low frequency approximation coefficients are selected based on a pixel selection rule while high frequency details are selected by convolution using averaging, gaussian, unsharp, prewitt and sobel filter masks of varying sizes. The performance evaluation in each case is conducted using objective strategies like RMSE and PSNR and results are graphically interpreted. Thus a comprehensive analysis is conducted to ensure the best fit mask for medical diagnosis and treatment applications.

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Author information

Authors and Affiliations

  1. Department of Computing, London Metropolitan University, North Campus,Holloway Road, London, UK

    Susmitha Vekkot

Authors
  1. Susmitha Vekkot
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Editor information

Editors and Affiliations

  1. National University of Singapore, Singapore

    Prahlad Vadakkepat  & Tan Kok Kiong  & 

  2. Dept. of Electrical Engineering and Computer Science, Korea Advanced Institute of Science and Technology, Daejeon, South Korea

    Jong-Hwan Kim

  3. Technische Universität Dortmund, Dortmund, Germany

    Norbert Jesse

  4. Department of Electrical and Computer Engineering, National University of Singapore, 4 Engineering Drive 3, 117576, Singapore

    Abdullah Al Mamun

  5. Department of Computer Science, University of Manitoba, R3T 2N2, Winnipeg, Manitoba, Canada

    Jacky Baltes  & John Anderson  & 

  6. Dept. of Education in Technology & Science, Technion - Israel Institute of Technology, 32000, Haifa, Israel

    Igor Verner

  7. Trinity College, Hartford, CT, USA

    David Ahlgren

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© 2010 Springer-Verlag Berlin Heidelberg

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Vekkot, S. (2010). Wavelet Based Medical Image Fusion Using Filter Masks. In: Vadakkepat, P., et al. Trends in Intelligent Robotics. FIRA 2010. Communications in Computer and Information Science, vol 103. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15810-0_38

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  • DOI: https://doi.org/10.1007/978-3-642-15810-0_38

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-15809-4

  • Online ISBN: 978-3-642-15810-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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