A Novel Non-invasive Framework for Predicting Bilirubin Levels

Aditya Arora, Diksha Chawla and Jolly Parikh ()
Additional contact information
Aditya Arora: Bharati Vidyapeeth’s College of Engineering
Diksha Chawla: Bharati Vidyapeeth’s College of Engineering
Jolly Parikh: Bharati Vidyapeeth’s College of Engineering

A chapter in New Trends in Computational Vision and Bio-inspired Computing, 2020, pp 199-205 from Springer

Abstract: 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.

Keywords: Hyperbilirubinemia; Image processing; Bilateral filtering; Masking; Sclera (search for similar items in EconPapers)
Date: 2020
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-030-41862-5_18

Ordering information: This item can be ordered from
http://www.springer.com/9783030418625

DOI: 10.1007/978-3-030-41862-5_18

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().