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Improving the security of medical image through neuro-fuzzy based ROI selection for reliable transmission

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Abstract

Lately, medical service area has developed quickly with its own advantages and disadvantages. In this computerized time, giving exact determination in the carefully communicated clinical pictures is at more serious dangers. This paper presents the watermarking method for medical images that should resists for various kinds of attacks. Firstly, our method identifies the region of interest for extracting the high intensity energy levels in the medical image. Wavelet decomposition is done to the identified region in order to extract the sub-bands for embedding. Singular values obtained from SVD decomposition helps in identifies the matrix and singular values of the medical image. Finally, validation code is generated for authenticating the medical image from both sender and receiver side, in order to track any region of the image being tampered through intruders. Our proposed method shows better accuracy in testing the robustness of the image.

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Authors and Affiliations

  1. Department of Artificial Intelligence and Data Science, Bannari Amman Institute of Technology, Sathyamangalam, India

    K. Balasamy

  2. Department of Computer Science and Engineering, Sri Krishna College of Technology, Coimbatore, India

    N. Krishnaraj

  3. Department of ECE, VSB college of engineering technical campus, Coimbatore, India

    K. Vijayalakshmi

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  1. K. Balasamy
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  2. N. Krishnaraj
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  3. K. Vijayalakshmi
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Correspondence to K. Balasamy.

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Balasamy, K., Krishnaraj, N. & Vijayalakshmi, K. Improving the security of medical image through neuro-fuzzy based ROI selection for reliable transmission. Multimed Tools Appl 81, 14321–14337 (2022). https://doi.org/10.1007/s11042-022-12367-4

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