Computational Measuring Approach for the Identification of Probable Intestinal System Pathologies through the Human Iris Parameters

Julián D. Miranda, Sergio A. Salinas

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    1 Scopus citations

    Abstract

    Iridology is the science that aims to identify certain human pathologies through human iris by using manual visual methods. These methods, although they are less invasive, are cumbersome. In this paper, a detailed description of the results obtained by applying an algorithmic approach for the automatic identification, calculation, and computation measurements of the key internal parameters of the human eye iris and specific organic pathologies related to the intestinal system is presented. Results evidence that using composition and basic segmentation of human iris, it is possible to execute propitious computational procedures for the determination of organic anomalies in the intestinal system.

    Original languageEnglish
    Title of host publication2019 22nd Symposium on Image, Signal Processing and Artificial Vision, STSIVA 2019 - Conference Proceedings
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    ISBN (Electronic)9781728114910
    DOIs
    StatePublished - Apr 2019
    Event22nd Symposium on Image, Signal Processing and Artificial Vision, STSIVA 2019 - Bucaramanga, Colombia
    Duration: 24 Apr 201926 Apr 2019

    Publication series

    Name2019 22nd Symposium on Image, Signal Processing and Artificial Vision, STSIVA 2019 - Conference Proceedings

    Conference

    Conference22nd Symposium on Image, Signal Processing and Artificial Vision, STSIVA 2019
    Country/TerritoryColombia
    CityBucaramanga
    Period24/04/1926/04/19

    Bibliographical note

    Publisher Copyright:
    © 2019 IEEE.

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