Medical Image Fusion Multi Model Based on Quaternion Wavelet Transform

Authors

  • V. Supraja  Assistant Professor, Department of ECE, Ravindra college of Engineering for Women, Kurnool, Andhra Pradesh, India
  • K. Swetha  Department of ECE, Ravindra College of Engineering for Women, Kurnool, Andhra Pradesh, India
  • E. Haritha  Department of ECE, Ravindra College of Engineering for Women, Kurnool, Andhra Pradesh, India
  • K. Sumalatha  Department of ECE, Ravindra College of Engineering for Women, Kurnool, Andhra Pradesh, India
  • G. Chandrika  Department of ECE, Ravindra College of Engineering for Women, Kurnool, Andhra Pradesh, India

DOI:

https://doi.org/10.32628/IJSRSET1229264

Keywords:

Medical Image Fusion, Quaternion Wavelet Transform, Context, Activity Measure

Abstract

Medical image fusion can combine multi-modal images into an integrated higher-quality image, which can provide more comprehensive and accurate pathological information than individual image does. Traditional transform domain-based image fusion methods usually ignore the dependencies between coefficients and may lead to the inaccurate representation of source image. To improve the quality of fused image, a medical image fusion method based on the dependencies of quaternion wavelet transform coefficients is proposed. First, the source images are decomposed into low-frequency component and high-frequency component by quaternion wavelet transform. Then, a clarity evaluation index based on quaternion wavelet transform amplitude and phase is constructed and a contextual activity measure is designed. These measures are utilized to fuse the high-frequency coefficients and the choose-max fusion rule is applied to the lowfrequency components. Finally, the fused image can be obtained by inverse quaternion wavelet transform. The experimental results on some brain multi-modal medical images demonstrate that the proposed method has achieved advanced fusion result.

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International Journal of Scientific Research in Science, Engineering and Technology

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Published

2022-04-30

Issue

Volume 9, Issue 2, March-April-2022

Section

Research Articles

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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
V. Supraja, K. Swetha, E. Haritha, K. Sumalatha, G. Chandrika "Medical Image Fusion Multi Model Based on Quaternion Wavelet Transform" International Journal of Scientific Research in Science, Engineering and Technology (IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 9, Issue 2, pp.348-357, March-April-2022. Available at doi : https://doi.org/10.32628/IJSRSET1229264