• Journal of the Korea Society of Computer and Information
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• v.13 no.6
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• pp.87-94
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• 2008

Iris diagnosis is an alternative medicine technique whose proponents believe that patterns, colors, and other characteristics of the iris can be examined to determine information about a patient's systemic health. However, because most of previous studies only find a sign pattern in a gray iris image, they are not enough to be used for a iris diagnosis system. In this paper, we developed an iris diagnosis system based on a color image processing and iris medical information stored in database. The system includes four modules : input module with an iris camera, iris signs extraction module, medical database, output module with printing. Based on a color image processing approach, this paper presents the extraction algorithms of 7 major iris signs and correction manually for improving the accuracy of analysis. We can use the iridology and patient's health DB in the stage of signs analysis. Compared with the existing system, the developed system can be applied to an iris diagnosis system since it provides various additional functions.

• Journal of Physiology & Pathology in Korean Medicine
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• v.17 no.6
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• pp.1538-1542
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• 2003

This Study was carried out for proof of confidence of Iris Diagnosis. We analyzed relation between Iris Signs and Chief Complain, and then analyzed relation between Iris Signs and Past History. The rate of relation between Iris Signs and Chief Complain was 72.1 %. The rate of relation between Iris Signs and Past History was 52.9%. synthetically, We had known that this diagnosis method have probability of 79.7%. It was confirmed that there are close correlations between Iris Signs and Chief Complain and between Iris Signs and Past History.

• International journal of advanced smart convergence
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• v.7 no.4
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• pp.169-173
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• 2018

Iris diagnosis based on the color and texture information is one of a novel approach which can represent the current state of a certain organ inside body or the health condition of a person. In analysis of the iris images, there are critical image artifacts which can prevent of use interpretation of the iris textures on images. Here, we developed the iris diagnosis system based on a hand-held typed imaging probe which consists of a single camera sensor module with 8M pixels, two pairs of 400~700 nm LED, and a guide beam. Two original images with different light noise pattern were successively acquired in turns, and the light noise-free image was finally reconstructed and demonstrated by the proposed artifact removal approach.

• Journal of Society of Preventive Korean Medicine
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• v.12 no.2
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• pp.131-143
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• 2008

This study aims at finding out the correlation between sasang constitution diagnosis using QSCCII which is self reporting questionnaire and sasang constitution diagnosis using iridology. In this study, 131 adult male and female participated as testees. The survey on questionnaires of QSCCII were carried out and then photos of irises of the participants were taken. The data from QSCCII was computed in WIN QSCCII version and they were translated into sasang constitution. For iris photos, the iris specialized camera with 1,300,000 picture elements was used, and then the iris photos were also read by computer. The correlation rate between QSCCII sasang constitution and iris sasang constitution was 52.4%, where kappa coefficient shows 0.323, which gives meaningful result statistically. And thus, the result can be used as a reference in sasang constitution diagnosis. For iridology to be served as a tool for sasang constitution diagnosis, criteria need to be developed for more concrete iris sasang constitution diagnosis in the future. And also comparative research is required among sasang constitution professionals and its iridological correlation of Sasang constitution carried out on more various group of people.

• The Journal of the Society of Korean Medicine Diagnostics
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• v.17 no.1
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• pp.1-16
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• 2013

Objectives Iridology is a field of study that diagnoses various systemic diseases through analysis of colors, structural characteristics and changes in iris. The purpose of this study was to review previously published study results of the iridology. Methods The studies were searched with the keyword "iridology" through search engines such as SCOPUS, Pub med, RISS, and NDSL. Total of 36 iridology-related studies published from 1980 to 2012 were analyzed. Results Most diagnoses of systemic disease through iris markings were insignificant. The studies on relevance of gene polymorphism and iris constitution were highly significant. The studies on relevance of Sasang constitution and iris constitution varied in results depending on diagnosis methods. The studies on relevance of iris constitution and diseases had significant results. The structural characteristics of iris were related to certain personality. Conclusions The studies on utility of iris diagnosis and diagnostic markings were negative, but the relevance of constitution, heredity, and iris diagnosis was positive. A persistent in-depth study on relevance of iris and constitution is needed in the future.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.21 no.1
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• pp.107-114
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• 2017

Iris diagnosis is an alternative medicine to diagnose the disease of the patient by using different of the iris pattern, color and other characteristics. This paper proposed a disease prediction algorithm that using the iris regions that analyze iris change to using differential image of iris image. this method utilize as patient's health examination according to iris change. Because most of previous studies only find a sign pattern in a iris image, it's not enough to be used for a iris diagnosis system. We're developed an iris diagnosis system based on a iris images processing approach, It's presents the extraction algorithms of 8 major iris signs and correction manually for improving the accuracy of analysis. As a result, PNSR of applied edge detection image is about 132, and pattern matching area recognition presented practical use possibility by automatic diagnostic that presume situation of human body by iris about 91%.

• The Journal of the Korea Contents Association
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• v.17 no.9
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• pp.466-475
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• 2017

Various factors in daily life cause stress, which could stem from trivial or major events. Stress is not appeared at any time but is appeared over the lifetime. Therefore, it is necessary to conduct studies to identify ways to manage stress. In the present study, we developed an iris analysis-based system to diagnose and manage stress. By analyzing its correlation with the degree of stress measured using the iris diagnosis and a questionnaire, the user's degree of stress quantitates. The system proposed in this study can be used to measure the degree of stress experienced by the user, which can be an effective method for the early diagnosis and prevention of stress-related diseases.

• The Journal of the Society of Korean Medicine Diagnostics
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• v.17 no.2
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• pp.112-121
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• 2013

Objectives This study analyze the correlation between iris markings and the obesity level shown in body composition indices. And It quantitatively evaluates iris markings according to the level of obesity to improve a clinical application plan for the iris analysis. Methods This study analyzed the iris and body composition through the quantization of iris markings for 28 female patients. It calculated descriptive statistics by using SPSS 13.0 and investigated correlation coefficients of non-parametric Spearman in order to analyze the relation between iris markings and body composition indices. Results Considering the correlation between iris markings and body composition indices, an area of the pupil had a significant positive correlation with height and with fat-free amount such as body water, protein, and minerals. BMI showed significant positive correlations with the length of the autonomic nerve wreath and the ratio of the autonomic nerve wreath, and the area of the autonomic nerve wreath. Moreover, the number of lacunas in the pancrea area had a significant positive correlation with weight and BMI. Conclusions This study objectifies the quantification of iris markings to identify the correlation between iris markings and the level of obesity. The study results will be used as a basic data to make standards for the diagnosis of obesity, the treatment of related diseases, and the diagnosis of iris markings for prevention.

• Proceedings of the IEEK Conference
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• 2002.06d
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• pp.53-56
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• 2002

In this paper, we propose the method of iris lacuna extraction using watershed transform. Lacuna is salient feature of iris. It has three dimensional structure formed by leak of pigmentation and loss of fiber tissues. Lacuna can be used for iris recognition system, and generally used in health diagnosis and character analysis with its shape and position. The main idea of the proposed method is applying the watershed transform to radial gray scale profile of iris image. The result shows that the lacuna can be extracted automatically from eye image.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2003.10a
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• pp.932-934
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• 2003

In this paper, time, studied about method that can analyze iris change to using differential image of iris image that put interval and films and utilize as patient's health examination according to iris change. Time, Differential mage of iris image that put interval and films ran be used usefully to search early diagnosis of disease and unfolding process etc.. of disease by showing definitely change by tine. In the case of iris diagnostic system, iris outside area extracts iris area and uses Differential image of before filming image and image that film present to use canny edge detector as there is cay to extract iris area as do not help in diagnostic and change analyzed comparison.