• Journal of Korea Society of Industrial Information Systems
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• v.16 no.2
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• pp.31-38
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• 2011

Skin color is a very important information for an automatic face recognition. In this paper, we proposed a skin region extraction method using the MLP(Multi-Layer Perceptron) and skin color model. We use the adaptive lighting compensation technique for improved performance of skin region extraction. Also, using an preprocessing filter, normally large areas of easily distinct non-skin pixels, are eliminated from further processing. Experimental results show that the proposed method has better performance than the conventional methods, and reduces processing time by 31~49% on average.

• Proceedings of the IEEK Conference
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• 2001.09a
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• pp.139-142
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• 2001

This paper presents a highly fast and accurate facial region extraction method by using the skin-color-reference map and motion information. First, we construct the robust skin-color-reference map and eliminate the background in image by this map. Additionally, we use the motion information for accurate and fast detection of facial region in image sequences. Then we further apply region growing in the remaining areas with the aid of proposed criteria. The simulation results show the improvement in execution time and accurate detection.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2005.06a
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• pp.1630-1635
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• 2005

The microstructure of the parts made by the microcellular injection molding process influence properties, including impact strength, tensile strength and density of material. Microstructure of microcellular plastics is divided into core foaming region and solid skin region. Core foaming region is influenced by pressure drop rate, viscosity and cell coalescence. However, actual mechanism of the skin layers is not known despite its importance. The study on the skin layer is getting important because foaming rate of the plastics is determined by the thickness ratio of the skin layer. Especially in case of large molded part, control of the skin layer is needed because skin layer thickness is changed largely. Therefore it is necessary to study variation in skin layer thickness with processing parameters. In this paper, the influence of temperatures in the mold cavity on the skin layer s thickness was also addressed. In addition, the relationship between the temperature distributions across cavity of the mold with impact strength on parts made with the microcellular injection molding process was addressed. In addition, the method to predict the variation in skin layer thickness with mold temperature is discussed.

• Journal of Korea Multimedia Society
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• v.17 no.7
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• pp.806-817
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• 2014

The extraction of lip region is essential to Lip Reading, which is a field of image processing to get some meaningful information by the analysis of lip movement from human face image. Many conventional methods to extract lip region are proposed. One is getting the position of lip by using geometric face structure. The other discriminates lip and skin regions by using color information only. The former is more complex than the latter, however it can analyze black and white image also. The latter is very simple compared to the former, however it is very difficult to discriminate lip and skin regions because of close similarity between these two regions. And also, the accuracy is relatively low compared to the former. Conventional analysis of color coordinate systems are mostly based on specific extraction scheme for lip regions rather than coordinate system itself. In this paper, the method for selection of effective color coordinate system and chromaticity transformation to discriminate these two lip and skin region are proposed.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.48 no.4
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• pp.21-29
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• 2011

At existing skin detection methods using skin color information defined based on the prior knowldege, threshold value to be used at the stage of dividing the backround and the skin region was decided on a subjective point of view through experiments. Also, threshold value was selected in a passive manner according to their background and illumination environments in these existing methods. These existing methods displayed a drawback in that their performance was fully influenced by the threshold value estimated through repetitive experiments. To overcome the drawback of existing methods, this paper propose a skin region detection method using a histogram approximation based on the mean shift algorithm. The proposed method is to divide the background region and the skin region by using the mean shift method at the histogram of the skin-map of the input image generated by the comparison of the similarity with the standard skin color at the CbCr color space and actively finding the maximum value converged by brightness level. Since the histogram has a form of discontinuous function accumulated according to the brightness value of the pixel, it gets approximated as a Gaussian Mixture Model (GMM) using the Bezier Curve method. Thus, the proposed method detects the skin region by using the mean shift method and actively finding the maximum value which eventually becomes the dividing point, not by using the manually selected threshold value unlike other existing methods. This method detects the skin region high performance effectively through experiments.

• 전자공학회논문지 IE
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• v.45 no.4
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• pp.60-67
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• 2008

Skin color is a very important information for an automatic face recognition. In this paper, we proposed a skin region extraction method using color information and skin color model. We use the adaptive lighting compensation technique for improved performance of skin region extraction. Also, using an preprocessing filter, normally large areas of easily distinct non skin pixels, are eliminated from further processing. And we use the modified ST color space, where undesired effects are reduced and the skin color distribution fits better than others color space. Experimental results show that the proposed method has better performance than the conventional methods, and reduces processing time by $35{\sim}40%$ on average.

• The Journal of Korean Medicine Ophthalmology and Otolaryngology and Dermatology
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• v.25 no.3
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• pp.88-96
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• 2012

Objectives : We investigated the skin properties on the periorbital region and cheek of Korean female according to age pattern by 7year based on Sang Go Cheun Jin Ron (上古天眞論) in So Moon (素問,) Methods : 49 Korean females, aged 21-56 years ($39.54{\pm}10.04$ years) were participated in this study. We measured the skin properties of periorbital region and cheek with SkinTouch (Amorepacific, Korea). Skin moisture, sebum, elasticity, lightness, roughness, area of wrinkle, depth of wrinkle were assessed. Results : Differences were noticed depending on the site and age. The level of moisture was higher on the eyelid than crow's feet. The level of lightness and elasticity were lower on the periorbital region than cheek. Skin lightness was highest on group1(under 28y) and lowest on group5(over 49y). Skin roughness was highest on group1(under 28y) and lowest on group4(over 42y under 49y). The level of wrinkle are was lowest on group1(under 28y) and highest on group 5(over49y). The level of wrinkle depth was lowest on group1(under 28y) and highest on group 4(over 42y under 49y). Conclusion : Unique aging pattern by 7 years of female is reflected to diverse skin properties of eyes. It can be possible to apply the theory on Sang Go Cheun Jin Ron (上古天眞論) to practical use in dermatology and cosmetic.

• The Journal of Korean Society for Radiation Therapy
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• v.7 no.1
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• pp.176-184
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• 1995

It is very useful benefits to use the megavoltage photon beams in deep site tumor radiotherapy for skin sparing effects. But, In some cases of head and mock tumors, it is often necessary to use spoiler for rapid buildup on skin region. A spoiler with tissue equivalent material to be moved between the patients and the collimator can increase or control the skin dose and buildup region due to position and thickness of the spoiler was measured. Then, the effect of spoiler on skin dose and build up region in protruded tumor of head and neck was evaluated quantitatively. The measurements were abtained with PTW 2334 chamber (Markus type) on a polystylene phantom for 6MV x-ray from an accelerator.

• Journal of Acupuncture Research
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• v.30 no.1
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• pp.71-80
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• 2013

Objectives : This study aimed to investigate the difference of abdominal skin temperature responses following moxibustion comparing stimulation method. Methods : Moxibustion was applied on the acupuncture points of $CV_4$, $CV_6$, $CV_{12}$. Thirty healthy men were randomly divided into two groups, one receiving a single moxibustion stimulation in three locations '$CV_4{\cdot}CV_6{\cdot}CV_{12}$'(n=15) and the other receiving triple moxibustion stimulations in one location '$CV_{12}$'(n=15) for 30 min. To obtain the skin temperature on abdominal region, a thermograph was used. Three arbitrary frames(the upper abdominal, lower abdominal, whole abdominal regions) were made to analyse skin temperature. Thermographic images were obtained at before and after the procedure of indirect moxibustion and 5, 10, 15, 20, 25, 30 min afterwards. Results : An increase in skin temperature on the three abdominal regions was observed following both one point and three points moxibustion administrations. Significant increase in skin temperature of the whole abdominal region was observed at 30 min after the procedure of three points moxibustion compared with one point moxibustion stimulation. A tendency of skin temperature changes over time was observed. Conclusions : In this study, skin temperature of lower abdominal region does not increase after triple moxibustion stimulations on $CV_{12}$. Administration of single moxibustion on $CV_4$, $CV_6$, $CV_{12}$ makes greater changes in skin temperature on the whole abdominal region than triple moxibustion on $CV_{12}$.

• Journal of the Korean Institute of Intelligent Systems
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• v.11 no.7
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• pp.641-648
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• 2001

A face detection in color images is important for many multimedia applications. It is first step for face recognition and can be used for classifying specific shorts. This paper describes a new method to detect faces in color images based on the skin color and hair color. This paper presents a fuzzy-based method for classifying skin color region in a complex background under varying illumination. The Fuzzy rule bases of the fuzzy system are generated using training method like a genetic algorithm(GA). We find the skin color region and hair color region using the fuzzy system and apply the convex-hull to each region and find the face from their intersection relationship. To validity the effectiveness of the proposed method, we make experiment with various cases.