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Unsupervised Machine Learning Algorithm for MRI Brain Image Processing

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Soft Computing for Problem Solving

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 816))

Abstract

Denoising of an image is the first and primary pre-processing step in image processing. In this paper, an algorithm is implemented using machine learning in conjunction with wavelet-based denoising method. Most learning algorithms use activation function that is continuously differentiable. Since standard threshold functions are weakly differentiable, a new type of thresholding function was proposed. Stein’s unbiased risk estimate (SURE)-based updating algorithm is used for estimation. The proposed method is compared with conventional filtering and wavelet-based denoising methods, using performance evaluators like PSNR and MSE. Results indicate there is a significant reduction in MSE and increase in PSNR for the proposed method.

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Author information

Authors and Affiliations

  1. Department of Electronics and Communication Engineering, GITAM University, Visakhapatnam, 530045, Andhra Pradesh, India

    S. Saradha Rani

  2. AU College of Engineering, Visakhapatnam, 530003, Andhra University, India

    G. Sasibhushana Rao

  3. JNTUK, Kakinada, 533003, Andhra Pradesh, India

    B. Prabhakara Rao

Authors
  1. S. Saradha Rani
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  2. G. Sasibhushana Rao
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  3. B. Prabhakara Rao
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Corresponding author

Correspondence to S. Saradha Rani .

Editor information

Editors and Affiliations

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

    Jagdish Chand Bansal

  2. Department of Mathematics, National Institute Of Technology Silchar Department of Mathematics, Silchar, Assam, India

    Kedar Nath Das

  3. Department of Mathematics and Computer Science, Faculty of Science, , Liverpool Hope University, Liverpool, UK

    Atulya Nagar

  4. Department of Mathematics, Indian Institute of Technology Roor Department of Mathematics, Roorkee, Uttarakhand, India

    Kusum Deep

  5. School of Basic Sciences, Indian Institute of Technology Bhubanesw School of Basic Sciences, Bhubaneswar, Odisha, India

    Akshay Kumar Ojha

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Rani, S.S., Rao, G.S., Rao, B.P. (2019). Unsupervised Machine Learning Algorithm for MRI Brain Image Processing. In: Bansal, J., Das, K., Nagar, A., Deep, K., Ojha, A. (eds) Soft Computing for Problem Solving. Advances in Intelligent Systems and Computing, vol 816. Springer, Singapore. https://doi.org/10.1007/978-981-13-1592-3_54

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