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A Novel Non-invasive Framework for Predicting Bilirubin Levels

In: New Trends in Computational Vision and Bio-inspired Computing

Author

Listed:
  • Aditya Arora

    (Bharati Vidyapeeth’s College of Engineering)

  • Diksha Chawla

    (Bharati Vidyapeeth’s College of Engineering)

  • Jolly Parikh

    (Bharati Vidyapeeth’s College of Engineering)

Abstract

Hyperbilirubinemia is a condition in which the bilirubin levels rise above the normal mark and this causes discoloration of the skin and eyes among other symptoms. This paper proposes a framework which determines the severity of this condition using non-invasive methods and produces relevant results after proper analysis. The technique involved uses a specially designed camera module for capturing images of the sclera region of the eye and Digital Image Processing for analyzing the obtained raw data. The processes include Bilateral and Gaussian filtering of the raw images, detection of iris of the eye, masking of every color except shades of yellow and eventually, pixel by pixel analysis of the resulting image. The whole framework is designed in a way that it is capable of restricting unnecessary variations in raw data due to different working conditions while being cost-effective and reliable simultaneously.

Suggested Citation

  • Aditya Arora & Diksha Chawla & Jolly Parikh, 2020. "A Novel Non-invasive Framework for Predicting Bilirubin Levels," Springer Books, in: S. Smys & Abdullah M. Iliyasu & Robert Bestak & Fuqian Shi (ed.), New Trends in Computational Vision and Bio-inspired Computing, pages 199-205, Springer.
    • Handle: RePEc:spr:sprchp:978-3-030-41862-5_18
    DOI: 10.1007/978-3-030-41862-5_18
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