• Journal of the Institute of Electronics Engineers of Korea SC
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• v.45 no.6
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• pp.123-131
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• 2008

In Oriental medicine, the status of a tongue is the important indicator to diagnose the condition of one's health like the physiological and the clinicopathological changes of internal organs in a body. A tongue diagnosis is not only convenient but also non-invasive, and therefore widely used in Oriental medicine. However, the tongue diagnosis is affected by examination circumstances like a light source, patient's posture, and doctor's condition a lot. To develop an automatic tongue diagnosis system for an objective and standardized diagnosis, segmenting a tongue region from a facial image captured and classifying tongue coating are inevitable but difficult since the colors of a tongue, lips, and skin in a mouth are similar. The proposed method includes preprocessing, over-segmenting, detecting the edge with a local minimum over a shading area from the structure of a tongue, correcting local minima or detecting the edge with the greatest color difference, selecting one edge to correspond to a tongue shape, and smoothing edges, where preprocessing consists of down-sampling to reduce computation time, histogram equalization, and edge enhancement, which produces the region of a segmented tongue. Finally, the systematic procedure separated only a tongue region from a face image with a tongue, which was obtained from a digital tongue diagnosis system. Oriental medical doctors' evaluation for the results illustrated that the segmented region excluding a non-tongue region provides important information for the accurate diagnosis. The proposed method can be used for an objective and standardized diagnosis and for an u-Healthcare system.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.48 no.4
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• pp.116-128
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• 2011

In this paper, we propose the structure of a high-performance face-detection engine that responds well to facial rotating changes using rotation transformation which minimize the required memory usage compared to the previous face-detection engine. The validity of the proposed structure has been verified through the implementation of FPGA. For high performance face detection, the MCT (Modified Census Transform) method, which is robust against lighting change, was used. The Adaboost learning algorithm was used for creating optimized learning data. And the rotation transformation method was added to maintain effectiveness against face rotating changes. The proposed hardware structure was composed of Color Space Converter, Noise Filter, Memory Controller Interface, Image Rotator, Image Scaler, MCT(Modified Census Transform), Candidate Detector / Confidence Mapper, Position Resizer, Data Grouper, Overlay Processor / Color Overlay Processor. The face detection engine was tested using a Virtex5 LX330 FPGA board, a QVGA grade CMOS camera, and an LCD Display. It was verified that the engine demonstrated excellent performance in diverse real life environments and in a face detection standard database. As a result, a high performance real time face detection engine that can conduct real time processing at speeds of at least 60 frames per second, which is effective against lighting changes and face rotating changes and can detect 32 faces in diverse sizes simultaneously, was developed.

• The Journal of the Convergence on Culture Technology
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• v.8 no.5
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• pp.497-502
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• 2022

Information delivery among young generation has a distinct tendency to prefer visual to text as means of information distribution and sharing recently, and it is natural to distribute information through Youtube or one-man broadcasting on Internet. That is, young generation usually get their information through this kind of distribution procedure. Many young generation are also drastic and more aggressive for decorating themselves very uniquely. It tends to create personal characteristics freely through drastic expression and attempt of face makeup, hair styling and fashion coordination without distinction of sex. Especially, face makeup becomes an object of major concern among males nowadays, and female of course, then it is the major means to express their personality. In this study, to meet the demands of the times, we design and implement the intellectual smart mirror application that efficiently retrieves and recommends the related videos among Youtube or one-man broadcastings produced by famous professional makeup artists to implement the face makeup congruous with our face shape, hair color & style, skin tone, fashion color & style in order to create the face makeup that represent our characteristics. We also introduce the AI technique to provide optimal solution based on the learning of user's search patterns and facial features, and finally provide the detailed makeup face images to give the chance to get the makeup skill stage by stage.

• Journal of the Society of Cosmetic Scientists of Korea
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• v.43 no.4
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• pp.349-355
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• 2017

Skin tone plays a key role in one of the determinant for facial attractiveness. Most female customers have an interest in choosing skin color and improving their skin tone and their needs have been contributed the expansion of cosmetic products in the market. Recently, cosmetic customers, who want bright skin, are also interested in healthy and lively-looking skin. However, there is no method to evaluate the skin tone with the complexion-describing adjectives (CDAs). Therefore, this study was conducted to find the ways to objectify and digitize the CDA. We obtained that quasi $L^*$ at dark skin is 65 and quasi $L^*$ at bright skin is 74 for standard images, which are selected from our data base. To match the following seven CDAs: pale, clear, radiant, lively, healthy, rosy and dull, the colors of both images were adjusted by 30 panels. The quasi $L^*$, $a^*$ and $b^*$ were converted from the RGB values of the manipulated images. The differences between the quasi $L^*$, $a^*$ and $b^*$ values of standard images and manipulated images reflecting each CDA were statistically significant (p < 0.05). However, there were no statistical significances between the $L^*$ values of dark and bright skin images that were modified in accordance with each CDA and there also were no statistical significances between the quasi $a^*$ values of dark and bright skin for pale and clear CDAs. From the statistical analysis, the CDAs were observed to form three groups: (i) pale-clear-radiant, (ii) lively-healthy-rosy and (iii) dull. We recognized that people have a similar opinion about perception of CDAs. Following our results of this study, we establish new standard method for sensibility evaluation which is difficult to carry out scientifically or objectively.

• Journal of Physiology & Pathology in Korean Medicine
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• v.23 no.1
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• pp.1-6
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• 2009

Many of our contemporaries suffer from the symptoms of phlegm-fire, which is caused by stress, processed food, heavy diet, and unseasonal fruits and vegetables. With consultations from 'Euihaklpmoon', 'DongeuiBogham', and 'Ji-San's clinical lectures' this research, which is mainly focused on phlegm-fire, concluded as following. Phlegm-fire is caused by congestion of seven emotions, congestion of qi, complication of phlegm on fire, depletion of body fluids after long periods of disease, heavy diet, or congenital unbalance of yin-yang and qi-hyul. Concentration of phlegm-fire on the head causes headache, dizziness, frontal headache, tinnitus, and auditory dysfunction. The patient usually complains breaking pain. Dhamhwabang of Yijin-tang, Chunghoonhwadham-tang, and Yijin-tang variation for right headache can be used. Concentration of phlegm-fire on the thorax causes insomnia, palpitation, and insanity. Samhoohndham-tang variation, Chungsimgondhanhwan can be used. Concentration of phlegm-fire on the gastric region causes reflux of gastric acid, eructation, vomiting, abdominal discomfort, dysmenorrhea, and fluor gentalis. Yijin-tang variation for abdominal discomfort, Yanghyulsamul-tang, Hwadhamchunghwa-tang can be used. Shin type or Gi type, female with prevalence of qi and tendency of fire, female with dark facial color, female with raised eye tails and large noses, female with pointed noses, and male or female with large noses and mouths are likely to possess phlegm-fire. Abdominal discomfort of male with thick eyebrow and headache of Gi type female is usually caused by phlegm-fire.

• Journal of dental hygiene science
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• v.11 no.2
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• pp.121-127
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• 2011

This study was conducted to improve patients satisfaction by comparing patients expectation prior to the implant therapy to patient satisfaction after the implant therapy. The data of 158 patients with dental implant in Seoul, Gyeonggi-Do and Cheonan city was obtained. The results are as follows : 1. 40.5% of patients placed one implant and 36.1 % of patients answered that the average cost for each implant is from 1,500,000 to 2,000,000won. 23.4% of them answered they decided to have implant because no tooth preparation is required. 2. Overall, the expectation level for implant therapy in general properties, women showed higher level of expectation than men. Especially, 'Implant has a longer life than other denture' showed significant difference between women(4.29) and men(3.87). Expectation by age, 'Implant has similar color and shape' was found the highest in age 20(4.38). Satisfaction by general properties, 'No tooth preparation required' was found the highest in age 20(4.57) and was statistically significant(p<.002). 3. Comparing patients' expectation prior to implant therapy to satisfaction afterward, 'Implant prevents jawbone resorption and keeps facial appearance' showed 3.7 of expectation but satisfaction was found increased to 3.87(p=.020). No tooth preparation required' was found 3.95 in expectation prior to implant therapy but after therapy it was found 4.23 in satisfaction (p<.001). 4. Overall satisfaction in implant therapy was found 4.25, recommendation to other patients was found 4.18 and repurchase was found 4.17.

• Journal of Korea Multimedia Society
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• v.15 no.5
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• pp.595-605
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• 2012

Various methods for measuring strabismus have been developed and used in clinical diagnosis. However, most of them are based on the visual inspection by clinicians. For this reason, there is a high possibility of subjective evaluation in clinical decisions and they are only useful for cooperative patients. Therefore, the development of a more objective and reproducible method for measuring strabismus is needed. In this paper, we introduce a new software to complement the limitations of previous diagnostic methods. Firstly, we simply obtained facial images of patients and performed several preprocessing steps based on the spherical RGB color model with them. Then, the measurement of strabismus was performed automatically by using our 3D eye model and mathematical algorithm. To evaluate the validity of our software, we performed statistical correlation analysis of the results of the proposed method and the Krimsky test by two clinicians for ten patients. The coefficients of correlation for two clinicians were very high, 0.955 and 0.969, respectively. The coefficient of correlation between two clinicians also showed 0.968. We found a statistically significant correlation between two methods from our results. The newly developed software showed a possibility that it can be used as an alternative or effective assistant tool of previous diagnostic methods for strabismus.

• The Journal of the Korea Contents Association
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• v.18 no.2
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• pp.178-187
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• 2018

This study aimed to develop a model of the program for automation measuring the preference of the portraits based on the relationship between the image quality factors and the preferences in the portraits for manufacturers aiming at high utilization of the users. in order to proceed with the evaluation, the image quality measurement was divided into objective and subjective items, and the evaluation was done through image processing and statistical methods. the image quality measurement items can be divided into objective evaluation items and subjective evaluation items. RSC Contrast, Dynamic Range and Noise were selected for the objective evaluation items, and the numerical values were statistically analyzed and evaluated through the program. Exposure, Color Tone, composition of person, position of person, and out of focus were selected for subjective evaluation items and evaluated by image processing method. By applying objective and subjective assessment items, the results were very accurate, with the results obtained by the developed program and the results of the actual visual inspection. but since the currently developed program can be evalua ted only after facial recognition of the person, future research will need to develop a program that can evaluate all kinds of portraits.

• The Journal of Korean Academy of Prosthodontics
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• v.54 no.4
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• pp.438-444
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• 2016

To enhance the esthetic appearance, the maxillary anterior area is important. It is possible to improve the esthetic appearance through the treatment of maxillary anterior area, which includes altering the color, form, and arrangement of teeth. When planning these treatments, clinicians should individualize personal demands, by using the information obtained from facial, dento-labial, dental, and gingival analysis. It is essential to properly prepare the gingival structure, which includes the height of gingival margin, the location of zenith, reconstruction of the interdental papillae, emergence profile, and symmetry. Clinicians often face unfavorable condition of the gingiva and the edentulous ridge, and appropriate management of the gingival structure is needed. In this case report, the patients were treated to improve the gingival conditions surrounding maxillary anterior teeth. By using conservative treatment without surgical intervention, such as application of pink porcelain, subgingival contour modelling and modification of pontic base, satisfactory esthetic results were gained.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.10 no.6
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• pp.609-616
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• 2017

In this paper, we propose an algorithm to obtain more stable and high recognition rate by using left and right rotation information of input image in order to obtain a stable recognition rate in face recognition. The proposed algorithm uses the facial image as the input information in the web camera environment to reduce the size of the image and normalize the information about the brightness and color to obtain the improved recognition rate. We apply Principal Component Analysis (PCA) to the detected candidate regions to obtain feature vectors and classify faces. Also, In order to reduce the error rate range of the recognition rate, a set of data with the left and right $45^{\circ}$ rotation information is constructed considering the directionality of the input face image, and each feature vector is obtained with PCA. In order to obtain a stable recognition rate with the obtained feature vector, it is after scattered in the eigenspace and the final face is recognized by comparing euclidean distant distances to each feature. The PCA-based feature vector is low-dimensional data, but there is no problem in expressing the face, and the recognition speed can be fast because of the small amount of calculation. The method proposed in this paper can improve the safety and accuracy of recognition and recognition rate faster than other algorithms, and can be used for real-time recognition system.