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

Julián D. Miranda; Sergio A. Salinas

doi:10.1109/STSIVA.2019.8730274

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 proceeding › Conference and proceedings › peer-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 language	English
Title of host publication	2019 22nd Symposium on Image, Signal Processing and Artificial Vision, STSIVA 2019 - Conference Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781728114910
DOIs	https://doi.org/10.1109/STSIVA.2019.8730274
State	Published - Apr 2019
Event	22nd Symposium on Image, Signal Processing and Artificial Vision, STSIVA 2019 - Bucaramanga, Colombia Duration: 24 Apr 2019 → 26 Apr 2019

Publication series

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

Conference

Conference	22nd Symposium on Image, Signal Processing and Artificial Vision, STSIVA 2019
Country/Territory	Colombia
City	Bucaramanga
Period	24/04/19 → 26/04/19

Bibliographical note

Publisher Copyright:
© 2019 IEEE.

Access to Document

10.1109/STSIVA.2019.8730274

Cite this

Miranda, J. D., & Salinas, S. A. (2019). Computational Measuring Approach for the Identification of Probable Intestinal System Pathologies through the Human Iris Parameters. In 2019 22nd Symposium on Image, Signal Processing and Artificial Vision, STSIVA 2019 - Conference Proceedings Article 8730274 (2019 22nd Symposium on Image, Signal Processing and Artificial Vision, STSIVA 2019 - Conference Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/STSIVA.2019.8730274

Miranda, Julián D. ; Salinas, Sergio A. / Computational Measuring Approach for the Identification of Probable Intestinal System Pathologies through the Human Iris Parameters. 2019 22nd Symposium on Image, Signal Processing and Artificial Vision, STSIVA 2019 - Conference Proceedings. Institute of Electrical and Electronics Engineers Inc., 2019. (2019 22nd Symposium on Image, Signal Processing and Artificial Vision, STSIVA 2019 - Conference Proceedings).

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title = "Computational Measuring Approach for the Identification of Probable Intestinal System Pathologies through the Human Iris Parameters",

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.",

author = "Miranda, {Juli{\'a}n D.} and Salinas, {Sergio A.}",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 22nd Symposium on Image, Signal Processing and Artificial Vision, STSIVA 2019 ; Conference date: 24-04-2019 Through 26-04-2019",

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

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Miranda, JD & Salinas, SA 2019, Computational Measuring Approach for the Identification of Probable Intestinal System Pathologies through the Human Iris Parameters. in 2019 22nd Symposium on Image, Signal Processing and Artificial Vision, STSIVA 2019 - Conference Proceedings., 8730274, 2019 22nd Symposium on Image, Signal Processing and Artificial Vision, STSIVA 2019 - Conference Proceedings, Institute of Electrical and Electronics Engineers Inc., 22nd Symposium on Image, Signal Processing and Artificial Vision, STSIVA 2019, Bucaramanga, Colombia, 24/04/19. https://doi.org/10.1109/STSIVA.2019.8730274

Computational Measuring Approach for the Identification of Probable Intestinal System Pathologies through the Human Iris Parameters. / Miranda, Julián D.; Salinas, Sergio A.
2019 22nd Symposium on Image, Signal Processing and Artificial Vision, STSIVA 2019 - Conference Proceedings. Institute of Electrical and Electronics Engineers Inc., 2019. 8730274 (2019 22nd Symposium on Image, Signal Processing and Artificial Vision, STSIVA 2019 - Conference Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference and proceedings › peer-review

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T1 - Computational Measuring Approach for the Identification of Probable Intestinal System Pathologies through the Human Iris Parameters

AU - Miranda, Julián D.

AU - Salinas, Sergio A.

PY - 2019/4

Y1 - 2019/4

N2 - 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.

AB - 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.

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U2 - 10.1109/STSIVA.2019.8730274

DO - 10.1109/STSIVA.2019.8730274

M3 - Ponencia publicada en las memorias del evento con ISBN

AN - SCOPUS:85068084229

T3 - 2019 22nd Symposium on Image, Signal Processing and Artificial Vision, STSIVA 2019 - Conference Proceedings

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

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 22nd Symposium on Image, Signal Processing and Artificial Vision, STSIVA 2019

Y2 - 24 April 2019 through 26 April 2019

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Miranda JD, Salinas SA. Computational Measuring Approach for the Identification of Probable Intestinal System Pathologies through the Human Iris Parameters. In 2019 22nd Symposium on Image, Signal Processing and Artificial Vision, STSIVA 2019 - Conference Proceedings. Institute of Electrical and Electronics Engineers Inc. 2019. 8730274. (2019 22nd Symposium on Image, Signal Processing and Artificial Vision, STSIVA 2019 - Conference Proceedings). doi: 10.1109/STSIVA.2019.8730274

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

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