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Unimodal Medical Image Registration Based on Genetic Algorithm Optimization

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Soft Computing for Problem Solving

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1057))

Abstract

This research work proposes unimodal image registration based on genetic algorithm. The intensity-based image registration is employed here, and normalized cross-correlation is used as the similarity index, and for choosing the optimal values of image registration parameters, genetic algorithm was employed. The performance of the image registration was validated by the performance metrics and tested on MR brain images of BrainWeb database. The performance metrics peak-to-signal noise ratio (PSNR), mean squared error (MSE), normalized cross-correlation (NCC), and mutual information (MI) reveals the superiority of the image registration algorithm.

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Acknowledgements

The authors would like to acknowledge the support provided by DST under IDP scheme (No.: IDP/MED/03/2015).

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Authors and Affiliations

  1. School of Electronics and Communication Engineering, Mar Ephraem College of Engineering and Technology, Kanyakumari, India

    J. V. Alexy John, S. N. Kumar, H. Ajay Kumar & W. Abisha

  2. School of Computer Science and Engineering, Mar Ephraem College of Engineering and Technology, Kanyakumari, India

    A. Lenin Fred

Authors
  1. J. V. Alexy John
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  2. S. N. Kumar
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  3. A. Lenin Fred
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  4. H. Ajay Kumar
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  5. W. Abisha
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Corresponding author

Correspondence to J. V. Alexy John .

Editor information

Editors and Affiliations

  1. Department of Mathematics, National Institute of Technology Silchar, Silchar, Assam, India

    Kedar Nath Das

  2. Department of Mathematics, South Asian University, New Delhi, Delhi, India

    Jagdish Chand Bansal

  3. Department of Mathematics, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, India

    Kusum Deep

  4. Department of Mathematics, Faculty of Science, Liverpool Hope University, Liverpool, UK

    Atulya K. Nagar

  5. School of Electrical Engineering, VIT University, Vellore, Tamil Nadu, India

    Ponnambalam Pathipooranam

  6. School of Electrical Engineering, VIT University, Vellore, Tamil Nadu, India

    Rani Chinnappa Naidu

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Alexy John, J.V., Kumar, S.N., Lenin Fred, A., Ajay Kumar, H., Abisha, W. (2020). Unimodal Medical Image Registration Based on Genetic Algorithm Optimization. In: Das, K., Bansal, J., Deep, K., Nagar, A., Pathipooranam, P., Naidu, R. (eds) Soft Computing for Problem Solving. Advances in Intelligent Systems and Computing, vol 1057. Springer, Singapore. https://doi.org/10.1007/978-981-15-0184-5_47

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