Multimodal Medical Image registration using Discrete Wavelet Transform and Gaussian Pyramids

In this research paper, authors propose multimodal brain image registration using discrete wavelet transform(DWT) followed by Gaussian pyramids. The reference and target images are decomposed into their LL, LH, HL and LL DWT coefficients and then are processed for image registration using Gaussian p...

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Bibliographic Details
Published in:arXiv.org 2020-09
Main Authors: Shakir, Hina, S Talha Ahsan, Nabiha Faisal
Format: Article
Language:English
Subjects:
Correlation coefficients
Discrete Wavelet Transform
Image registration
Medical imaging
Pyramids
Registration
Scientific papers
Target recognition
Wavelet transforms
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Summary:In this research paper, authors propose multimodal brain image registration using discrete wavelet transform(DWT) followed by Gaussian pyramids. The reference and target images are decomposed into their LL, LH, HL and LL DWT coefficients and then are processed for image registration using Gaussian pyramids. The image registration is also done using Gaussian pyramids only and wavelets transforms only for comparison. The quality of registration is measured by comparing the maximum MI values used by the three methods and also by comparing their correlation coefficients. Our proposed technique proves to show better results when compared with the other two methods.
ISSN:2331-8422