• Journal of Multimedia Information System
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• v.6 no.2
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• pp.99-106
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• 2019

In traditional Chinese medical (TCM) science, tongue images can be observed for medical diagnosis; however, the tongue diagnosis of TCM is influenced by the subjective factors of doctors, and the diagnosis results vary from person to person. Quantitative TCM tongue diagnosis can improve the accuracy of diagnosis and increase the application value. In this paper, digital image processing and pattern recognition technologies are employed on mobile device to classify tongue images collected in different health states. First, through grayscale integral projection processing, the trough is found to localize the tongue body. Then the tongue body image is transferred from RGB color space to HSV color space, and the average H and S values are considered as the color features. Finally, the diagnosis results are obtained according to the relationship between the color characteristics and physical symptoms.

• The Journal of Internal Korean Medicine
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• v.34 no.1
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• pp.71-85
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• 2013

Objectives : The aim of this study was to evaluate the distribution of tongue color and the correlation of the tongue colors with clinical laboratory parameters. Methods : Statistical analysis on the frequency of each tongue color and the results of the clinical laboratory parameters in each tongue color group. Results : Tongue colors that appeared most frequently were 702c, 695c, 493c, 694c, 701c, 500c, 7432c, 7431c, 7634c, 7419c in that order. Following them, 494c and 507c were rarer colors, and 501c, 673c, 687c, 693c, 696c, 703c, 7418c were equally rarest colors. Among each tongue color group, a significant difference was found in the result of complete blood cell count (CBC). The level of red blood cell (RBC) of 7432c group was significantly higher than that of the other groups except 694c group. The level of hemoglobin (Hb), hematocrit (Hct) of 7432c group were significantly higher than those of all the other groups. The level of RBC of 7431c group was lowest and significantly different from 694c, 7432c group. In results of the other tests were not significantly different. However the level of total cholesterol was higher in 695c, 694c, 500c group, and the level of triglyceride was higher in 500c, 7431c, 694c group. Those four colors have a low chroma and 7431c, 695c take blue violet color. Conclusions : The tongue color is distributed throughout following colors by order of frequency: 702c, 695c, 493c, 694c, 701c, 500c, 7432c, 7431c, 7634c, 7419c, 708c, 494c, 507c, 501c, 673c, 687c, 693c, 696c, 703c, 7418c. Some parameters of CBC has a significant correlation with some tongue colors. Other results including lipid profile, renal function test, and liver function test had no significant difference according to tongue color. However, the colors which have low chroma or take blue violet color tented to be higher in the levels of total cholesterol and triglyceride.

• Korean Journal of Oriental Medicine
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• v.14 no.3
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• pp.97-102
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• 2008

The tongue diagnosis is a diagnostic method in the oriental medicine that uses shape, substance, coating, and movement of the tongue to determine the condition of health and disease characteristics in human. Since this information, however, could be affected by subjective sense and visual information, it is difficult to obtain the objective and reproducible results. This research aims at building a reproducible tongue diagnosis system using color chart that is attached close to the face contact region. The picture of color chart is taken simultaneously with a tongue and applied to color revision. The system, in addition, is focused on providing a clear tongue image through securing a sufficient photographing distance with a surface coating mirror. The lightning part which can suppress the reflection by sputum in maximum is implemented for the objectification and quantification of the tongue diagnosis system. The face contact region is designed for consideration of a testee's convenience. To evaluate the reproducibility of the system, the CVs (coefficient of variance, %) of $L{\ast}$, $a{\ast}$ and $b{\ast}$ of red, green and blue regions in color chart are calculated, respectively. The results of all CVs shows that the tongue diagnosis system is re liable and those consequences contribute to the objectification and quantification of the tongue diagnosis system.

• The Journal of Internal Korean Medicine
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• v.39 no.4
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• pp.637-644
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• 2018

Objectives: In this study, the tongue features of patients with functional dyspepsia (FD) were compared with those of healthy controls. Methods: This prospective, case-control study was conducted on patients with FD and controls recruited at a single center. After screening, the subjects were allocated to the patient or control groups (patients=42, controls=40). Tongue images were acquired using a computerized tongue image acquisition system (CTIS). An independent t-test was conducted to compare the measurements from patients and controls. Binary logistic regression was performed to determine significant differences between the two groups after adjusting for age and sex. Results: The CIE $a^*$ color value in the tongue coating area was significantly lower in the patients with FD than in the controls (p=0.001). The tongue coating ratios were also significantly higher in the FD group than in the control group (p=0.003). We found that the CIE $a^*$ color value in the tongue coating area and the tongue coating ratios were significant predictive factors in both groups, based on binary regression analysis (p=0.016, 0.044, respectively). Conclusions: This study found that FD was significantly associated with CIE $a^*$ color value in the tongue coating area and tongue coating ratios. We suggest that these factors could be used as objective indicators of FD.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.19 no.2
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• pp.428-434
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• 2015

A new tongue examination model by using color analysis according to the taste division of tongue. The proposed system consists of a tongue image acquisition in a predefined template, taste region segmentation, color distribution analysis and abnormality decision of tongue by color analysis using Hue-Saturation histograms and the part of a mobile application service. We divided 4 basic taste(bitter, sweet, salty and sour) regions and performed color distribution analysis targeting each region under HSI(Hue Saturation Intensity) color model. To minimize the influence of illumination, the histograms of H and S components only except U are utilized. Using the analyzed results, the abnormality is discriminated by the criteria of the histogram range of normal tongues. Finally, a self tongue diagnosis system which can be used anytime and anywhere on mobile environment.

• The Journal of Korean Medicine Ophthalmology and Otolaryngology and Dermatology
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• v.12 no.2
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• pp.212-221
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• 1999

Tongue examination is the most unique and important diagnostic method of oriental medicine. It reveals patients condition and give some information about direction of therapy and background of disease as well as produces clue of duration of disease changing that grasps it from outside. The aims of this study show that results of tongue examination is related to somewhat special pattern. we study 27 patients(age of means: 63.01 years old, male: 14, female: 13) who come to Wonkwang University Oriental-Medicine Hospital at Chonju with diabetes mellitus or diabetes mellitus complications. Tongue colors of this study result in pale-red 8 cases, pale 6 cases, red 6 cases, crimson 5 cases, blue-green-purple 2 cases and tongue fur of this study result in white-fur 16 cases, yellow-fur 7 cases, black-fur 1 case, none-fur 3 cases. And the condition of tongue fur with grimy and thin result in thin-white-fur 12 cases, white-grimy-fur 4 cases, thin-yellow-fur 5 cases, grimy-yellow-fur 2 cases, black-fur 1 case. Means level of fasting glucose during 7 days was $223.24{\pm}32.l7mg/dl$ and postprandial 2hours was $286.37{\pm}24.54mg/dl$ There were no changes in tongue body and tongue color but changes occur in tongue fur with 9cases in this period. 5 cases of patient make a difference between FBS(fasting blood glucose) and postprandial blood glucose level more than l00mg/dl (2 cases of patient with thin-white-fur gradually turned to slight-yellow-fur. There were no changes in 2 cases of patient with crimson-none-fur and pale-white-fur. 1 case of patient with slimy-yellow-fur turned to black fur.) 11 cases of patient had lesser than $10\%$ hemoglobin $A_lC$ and tongue color of these patient were pale-red 5cases, pale 2 cases, red 2 cases, crimson 2 cases. 16 cases of patient had more than $10\%$ Hemoglobin $A_1C$ and tongue color of these patients were pale-red 3 cases, pale 4 cases, red 4 cases, crimson 3 cases, blue 2 cases. This result shows that quantity of Hemoglobin $A_1C$ make a somewhat role in tongue color. The above results show that tongue color, fur color, condition and change of fur in diabetes mellitus patients is various in pale-red, pale, crimson, none-fur. So it is difficult to give an exact diagnosis on pathology of diabetes mellitus only with tongue examination because there are a little matches between blood glucose level, prevalence-period, short-term blood glucose regulation and tongue and fur colors.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.2
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• pp.945-961
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• 2019

Tongue diagnosis is one of the most important diagnostic methods in Traditional Chinese Medicine (TCM). Tongue image segmentation aims to extract the image object (i.e., tongue body), which plays a key role in the process of manufacturing an automated tongue diagnosis system. It is still challenging, because there exists the personal diversity in tongue appearances such as size, shape, and color. This paper proposes an innovative segmentation method that uses image thresholding, gray projection and active contour model (ACM). Specifically, an initial object region is first extracted by performing image thresholding in HSI (i.e., Hue Saturation Intensity) color space, and subsequent morphological operations. Then, a gray projection technique is used to determine the upper bound of the tongue body root for refining the initial object region. Finally, the contour of the refined object region is smoothed by ACM. Experimental results on a dataset composed of 100 color tongue images showed that the proposed method obtained more accurate segmentation results than other available state-of-the-art methods.

• Journal of Korean Medicine Rehabilitation
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• v.23 no.3
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• pp.149-157
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• 2013

Objectives This study was designed to: (1) investigate the clinical feature of tongue diagnosis, (2) make an observation of significant changes in tongue diagnosis according to the patient's physical condition and laboratory result and (3) identify clinical efficacy of tongue diagnosis. Methods 300 patients' tongue diagnosis results were analyzed and the patients were divided to each group according to the physical condition and laboratory result. Then, chi-square test was performed to assess statistical significance between tongue diagnosis results of each group. Results As a result of analyzing the spread of tongue diagnosis according to the patient's physical condition and laboratory result, 18 groups had statistical significance related to specific tongue color and tongue coating. Conclusions Even if there would be possible misinterpretations in one-to-one match between the tongue diagnosis and certain diseases, we identified that tongue diagnosis results were changed somewhat related to patient's physical condition with some tendency and tongue diagnosis could be used for meaningful clinical diagnostic tool.

• The KIPS Transactions:PartB
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• v.14B no.2
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• pp.71-80
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• 2007

In this paper, We propose face type classification, tongue region extraction and tongue color analysis method for Oriental medicine diagnosis system to supply web based medical treatment information. This presents to construct system that takes super aging society and uses ocular inspection and longue diagnosis in web-based to embody this by an IT Technology as generalization and popularization of medical benefit are social requirement and supplies medical treatment information. Place that reflect living body signal of human body ordinarily and appear becomes iris or tongue, five sensory organs etc. This paper proposes classification of face type, extraction of five sensory organs for observing a person's shape and color among diseases diagnosis based on home health care that propose to develop and region extraction and color analysis etc, of tongue which intensively represents the bio-signals of human-beings. Finally, the effectiveness of this paper is verified by several experiments.

• The Journal of Pediatrics of Korean Medicine
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• v.15 no.2
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• pp.101-109
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• 2001

A clinical observation by the tongue change as a diagnostic method was made on 36 week children visited to Dongeui Oriental Medical Hospital from August. 2001 to December 2001 and the observed results were summarized as follows. 1. Their symptoms have been observed with sequences of Resparatory diseases, Digestive, Neuromotor, Psycho-neurological, Urogenital diseases 2. Distribution of sex : male 22 cases, female 14 cases 3. Distribution of age : 0-6 years 24 cases, 7-18 years 12 cases 4. The texture of tongue was resulted in tongue color in pink-28 cases, red-8 case, and shape in thin-18 cases, swelling-6 cases, a fissured patten-5 cases, a prickly patten-4 cases, and a map patten-3 cases, and fur of the tongue in thin-26 cases, moisten-8 cases, deep-2 cases, and coating color of the tongue in thin and whitish-15 cases, thin and yellowish-9 cases, lack-8 cases, deep and whitish-4 cases. 5. The texture of tongue in connection with weak children was come out mostly normal state and the rest red color, a fissured patten, a prickly patten, deep coating, thin and yellowish etc appeared to cause of slight damage due to exogenous pathogenic fators and due to internal injury.