• 한방안이비인후피부과학회지
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• 제12권1호
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• pp.356-368
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• 1999

The gu-chang is oriental medical disease name. This study has been carried out to investigate pathogenic factor, pathogenesis, treatment method and medicine of the gu chang by referring to literatures. The results were obtained as follows; 1. Pathogenic factors are pungent taste, stir frying, rich and fatty diet, alchol, disorder of emotion, exogenous pathogen, excessive fatigue and indulgence in sexual activities. 2. Pathogenesis of the gu chang is that the fire heat go up to the mouse. 3. The symptoms are divided into two syndrome. one is sthenia syndrome(實證) - red color and swelling, unendurable pain, strong pulse(脈實), the other is asthenia syndrome(虛症) - pink color, a slight pain, relapse, loose stool, feeble pulse(脈虛). 4. The treatment method is divided into two parts. one is a sthenic syndrome (實證) - clearing strong heat (淸實熱), the other is a asthenic syndrome(虛症) - nourishing yin(滋陰) and clearing deficient heat (淸虛熱), reinforcing the spleen and strengthening middle - JIAO(健脾 補中). 5. The prescription were liang ge san(凉膈散), Ij jhong tang(理中湯) ,xie xim tang(瀉心湯), bu ja li jhong tang, (附子理中湯),liuwei wan(六味元), ba wei wan(八味元), zhuye shigao tang(竹葉石膏湯), si wu tang(四物湯), bu zhong yi gi tang(補中益氣湯) etc.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2001년도 하계종합학술대회 논문집(3)
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• pp.217-220
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• 2001

The detection of face in color images is important for many multimedia applications. It is the first step for face recognition and ran be used for classifying specific shots. In this paper describes a new method to detect faces in color images based on the skin color and hair color. In the first step of the processing, regions of the human skin color and head color are extracted and those regions are found by their color information. Then we converted binary scale from the image. Then we are connected regions in a binary image by label. In the next step we are found regions of interesting by their region information and some conditions.

• 한국통신학회논문지
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• 제35권12C호
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• pp.1004-1009
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• 2010

대부분의 디지털 카메라에선 크기와 가격을 줄이기 위해 컬러 필터 어레이를 포함한 단일 이미지 센서를 사용하고 있다. 이렇게 얻어진 이미지들은 각 픽셀 당 하나의 색상 정보만을 가지고 있기 때문에 사람이 볼 수 있는 이미지로 만들기 위해서는 나머지 두 개의 손실된 색상 정보를 복원해야 하며, 이 과정을 디모자이킹(Demosaicing) 혹은 컬러 필터 보간법(Color Filter Interpolation)이라 부른다. 본 논문에서는 방향성을 고려한 새로운 디모자이킹 알고리듬을 제안하고 있으며, 이 알고리듬에서는 개선된 가중치 함수를 통해 화질을 개선하고 있다. 보간 성능이 개선되었음을 보여주기 위해 기존의 방법들과 비교를 했으며, PSNR과 주관적인 화질 비교를 통해 더 나은 성능을 보여주는 것을 입증하였다.

• 한국정보디스플레이학회:학술대회논문집
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• 한국정보디스플레이학회 2006년도 6th International Meeting on Information Display
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• pp.1326-1329
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• 2006

In this paper, we propose a non-linear interpolation of chrominance components based on the property of luminance signals to display color images effectively. The proposed method is more useful, in particular, for the images including stair-typed signal changes around edges. Experimental results show that the proposed method is superior to conventional methods in both objective and subjective performance.

• ETRI Journal
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• 제30권1호
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• pp.101-112
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• 2008

In this paper, we present a method to customize the ground color in outdoor sports video to provide TV viewers with a better viewing experience or subjective satisfaction. This issue, related to content personalization, is becoming critical with the advent of mobile TV and interactive TV. In outdoor sports video, such as soccer video, it is sometimes observed that the ground color is not satisfactory to viewers. In this work, the proposed algorithm is focused on customizing the ground color to deliver a better viewing experience for viewers. The algorithm comprises three modules: ground detection, shot classification, and ground color customization. We customize the ground color by considering the difference between ground colors from both input video and the target ground patch. Experimental results show that the proposed scheme offers useful tools to provide a more comfortable viewing experience and that it is amenable to real-time performance, even in a software-based implementation.

• 공업화학
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• 제34권2호
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• pp.131-136
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• 2023

가시광선 영역에서 빛을 흡수하는 고농도 시료의 농도를 색상 좌표 값을 이용해 측정하는 법을 개발하였다. 이성분계 고농도 시료와 색상 좌표 사이의 관계식을 실험식으로 구하고 Resazurin에서 Resorufin으로의 촉매 반응 속도를 평가하였다. 제시한 방법은 자외선가시광선분광법에서 비선형적으로 측정범위 한계를 넘어선 영역의 농도를 시료를 희석하지 않고 직접 측정할 수 있다.

• 대한전자공학회논문지SP
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• 제39권2호
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• pp.69-78
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• 2002

본 논문에서는 복잡한 배경에서의 얼굴 추출 방법을 제안한다. 제안된 알고리즘은 적응 퍼지 색 분할기법을 사용하여 얼굴색과 머리색을 분할시킨다. 얼굴색 분포는 Y,Cb,Cr 색 공간내에서 유도되어지고, 조명값에 적응적인 퍼지 시스템을 사용하여 얼굴색을 구분해낸다. 머리색은 RGB 색 공간내에서 구분되어진다. 전처리 과정을 거쳐 추출되어진 얼굴색과 머리색 영역에 컨벡스 헐을 적용하여 그들의 관계를 통해 최종적인 얼굴 영역이 추출되어진다. 제안된 방법은 기존의 패턴 매칭 방법에 비해 효율적인 성능을 나타낸다. 제안된 알고리즘의 유효성을 실험을 통해 증명하며, 색 영역에서의 제한 조건 없이 성공적으로 얼굴 영역을 추출해 냄을 알 수 있다.

• Food Science and Biotechnology
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• 제16권2호
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• pp.187-192
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• 2007

The objectives of this study were to examine changes in the color and antioxidant compounds of paprika powder under various conditions, as well as to establish the suitable conditions for drying and storage. Paprika was dried using the following methods: freeze-drying, vacuum drying, far infrared-ray drying, and hot-air drying. Measurements of the moisture content, color pigments, and antioxidant compounds (total carotenoids, capsanthin, ascorbic acid, and total polyphenols) were completed during 120 days of storage at 4 and $30^{\circ}C$. We found that drying methods, storage temperatures, and packaging materials affected the American Spice Trade Association (ASTA) and Hunter color values, as well as the antioxidant content of paprika powder. There was a high correlation (r=0.87, p<0.01) between the ASTA color and the $a^*/b^*$ value. The loss of red color was closely related to the reduction of moisture content (r=0.81, p<0.01) during storage. Drying paprika with a low temperature in the absence of air resulted in better retention of the carotenoids and ascorbic acid. Also, as the retention of the carotenoids and ascorbic acid increased, the stability of the red pigment increased. Freeze-drying was found to be the most suitable drying method for the stability of the antioxidant compounds and red pigment.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2003년도 ICCAS
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• pp.793-797
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• 2003

In this paper, we present a self-localization method for mobile robots using vertical line features of indoor environment. When a 2D map including feature points and color information is given, a mobile robot moves to the destination, and acquires images by one camera from the surroundings having vertical line edges. From the image, vertical line edges are detected, and pattern vectors meaning averaged color values of the left and right region of each line segment are computed. The pattern vectors are matched with the feature points of the map using the color information and the geometrical relationship of the points. From the perspective transformation of the corresponded points, nonlinear equations are derived. Localization is carried out from solving the equations by using Newton's method. Experimental results show that the proposed method using mono view is simple and applicable to indoor environment.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2004년도 학술대회지
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• pp.823-826
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• 2004

In this paper, A tracking of the moving objects using normalized hue distribution in HSI color model was proposed. Moving objects are detected by using difference image method and integral projection method to background image and objects image only with hue area. Hue information of the detected moving area are normalized by 24 levels from $0^{\circ}$ to $3600^{\circ}A$ distance in between normalized levels with a hue distribution chart of the normalized moving objects is used for the identity distinction feature parameters of the moving objects. To examine proposed method in this paper, image of moving cars are obtained by setting up three cameras at different places every 1 km on outer motorway. The simulation results of identity distinction show that it is possible to distinct the identity a distance in between normalization levels of a hue distribution chart without background.