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Combination of Wavelet Transform and Morphological Filtering for Enhancement of Magnetic Resonance Images

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Digital Information Processing and Communications (ICDIPC 2011)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 188))

Abstract

Brain tumor is an abnormal mass of tissue with uncoordinated growth inside the skull which may invade and damage nerves and other healthy tissues. Limitations posed by the image acquisition systems leads to the inaccurate analysis of magnetic resonance images (MRI) even by the skilled neurologists. This paper presents an improved framework for enhancement of cerebral MRI features by incorporating enhancement approaches of both the frequency and spatial domain. The proposed method requires de-noising, enhancement using a non-linear enhancement function in wavelet domain and then iterative enhancement algorithm using the morphological filter for further enhancing the edges is applied. A good enhancement of Region Of Interest(ROI) is obtained with the proposed method which is well portrayed by estimates of three quality metrics. Contrast improvement index (CII), peak signal to noise ratio (PSNR) and average signal to noise ratio (ASNR).

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Author information

Authors and Affiliations

  1. Department of Electronics and Communication Engineering, Shri Ramswaroop Memorial Group of Professional Colleges, Lucknow, 227105, U.P., India

    Akansha Srivastava,  Alankrita, Abhishek Raj & Vikrant Bhateja

Authors
  1. Akansha Srivastava
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  2. Alankrita
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  3. Abhishek Raj
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  4. Vikrant Bhateja
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Editor information

Editors and Affiliations

  1. Faculty of Electrical Engineering and Computer Science, VSB-Technical University of Ostrava, VÅ B-TUO, 17. listopadu 15, 708 33, Ostrava-Poruba, Czech Republic

    Vaclav Snasel  & Jan Platos  & 

  2. Information Systems Department, King Saud University, 11543, Riyadh, Saudi Arabia

    Eyas El-Qawasmeh

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© 2011 Springer-Verlag Berlin Heidelberg

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Srivastava, A., Alankrita, Raj, A., Bhateja, V. (2011). Combination of Wavelet Transform and Morphological Filtering for Enhancement of Magnetic Resonance Images. In: Snasel, V., Platos, J., El-Qawasmeh, E. (eds) Digital Information Processing and Communications. ICDIPC 2011. Communications in Computer and Information Science, vol 188. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22389-1_41

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  • DOI: https://doi.org/10.1007/978-3-642-22389-1_41

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-22388-4

  • Online ISBN: 978-3-642-22389-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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