JOURNAL ARTICLE

A Novel Approach to Detect Kidney Disease through Iris.

  • Published In: Grenze International Journal of Engineering & Technology (GIJET), 2023, v. 9, n. 1. P. 820 1 of 3

  • Database: Applied Science & Technology Source Ultimate 2 of 3

  • Authored By: N. S., Mahesh; Madankar, Prajakta 3 of 3

Abstract

Iridology is a scientific technique for analysing the structure of the iris. Some regions of the iris have special advantageous qualities; in addition to psychological condition, it also reserves the body's construction and specific organ conditions. The disorder is caused by the intensity organs that are stored in the iris's eyes in a structured and designed pattern. This technique could be used to develop reasonable guidelines for the detection of a variety of disorders. As a result, advanced research should be conducted on analysing iris images in order to detect organ condition. The final image is standardized by using an adaptive histogram, which first separates the image of the eye and then converts the iris image to a grey level scaled image. It is then converted into a rectangular shape, and the HMM images of eyes related to the kidneys are assembled. The final step is to diagnose the edge image of the iris HMM. Analyzing these results leads to the conclusion that the iris recognition system produces the best results. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Grenze International Journal of Engineering & Technology (GIJET). 2023/01, Vol. 9, Issue 1, p820
  • Document Type:Article
  • Subject Area:Health and Medicine
  • Publication Date:2023
  • ISSN:23955287
  • Accession Number:162319938
  • Copyright Statement:Copyright of Grenze International Journal of Engineering & Technology (GIJET) is the property of GRENZE Scientific Society and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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