• The Journal of the Korea Contents Association
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• v.6 no.4
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• pp.69-80
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• 2006

Interest about baby health increased into promise of all life health on society. Prevention disease or treatment about baby health is important, but it is important that first of grasping baby state through correct diagnosis. In this paper, diagnosis method for baby ocular inspection of Oriental medicine applying image processing technology is presented. For this, extracting baby frontal face image based on skin color, five sensory organs extraction and extraction of myeongdang based on position information is proposed. Finally, usefulness of method Proposed by an experiment world prove.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.56 no.11
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• pp.2051-2057
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• 2007

In Oriental medicine, the status of a tongue is the important indicator to diagnose one's health like physiological and clinicopathological changes of inner parts of the body. The method of tongue diagnosis is not only convenient but also non-invasive and widely used in Oriental medicine. However, tongue diagnosis is affected by examination circumstances a lot like a light source, patient's posture and doctor's condition. To develop an automatic tongue diagnosis system for an objective and standardized diagnosis, segmenting a tongue is inevitable but difficult since the colors of a tongue, lips and skin in a mouth are similar. The proposed method includes preprocessing, graph-based over-segmentation, detecting positions with a local minimum over shading, detecting edge with color difference and estimating edge geometry from the probable structure of a tongue, where preprocessing performs down-sampling to reduce computation time, histogram equalization and edge enhancement. A tongue was segmented from a face image with a tongue from a digital tongue diagnosis system by the proposed method. According to three oriental medical doctors' evaluation, it produced the segmented region to include effective information and exclude a non-tongue region. It can be used to make an objective and standardized diagnosis.

• 한국HCI학회:학술대회논문집
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• 2008.02b
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• pp.60-63
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• 2008

The sony Eytoy is developed on Playstation 2 using webcam for detecting human. A user see his appearance in television and become real gamer in the game. It is very different interface compared with ordinary video game which uses joystick. Although Eyetoy already was made for commercial products but the interface method still is interesting and can be added with many techniques like gesture recognition. In this paper, we have developed game interface with image processing for human hand and face detection and with game graphic module. And we realize one example game for busting balloons and demonstrated the game interface abilities. We will open this project for other developers and will be developed very much.

• Journal of Information Processing Systems
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• v.8 no.3
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• pp.399-408
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• 2012

Hand gesture recognition is an important area of research in the field of Human Computer Interaction (HCI). The geometric attributes of the hand play an important role in hand shape reconstruction and gesture recognition. That said, fingertips are one of the important attributes for the detection of hand gestures and can provide valuable information from hand images. Many methods are available in scientific literature for fingertips detection with an open hand but very poor results are available for fingertips detection when the hand is closed. This paper presents a new method for the detection of fingertips in a closed hand using the corner detection method and an advanced edge detection algorithm. It is important to note that the skin color segmentation methodology did not work for fingertips detection in a closed hand. Thus the proposed method applied Gabor filter techniques for the detection of edges and then applied the corner detection algorithm for the detection of fingertips through the edges. To check the accuracy of the method, this method was tested on a vast number of images taken with a webcam. The method resulted in a higher accuracy rate of detections from the images. The method was further implemented on video for testing its validity on real time image capturing. These closed hand fingertips detection would help in controlling an electro-mechanical robotic hand via hand gesture in a natural way.

• Proceedings of the IEEK Conference
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• 2000.09a
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• pp.341-344
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• 2000

본 논문에서는 복잡한 배경이나 조명 변화가 심한 영상에서도 피부영역을 정확하게 검출할 수 있는 피부영역 검출방법을 제안한다. 제안된 방법은 오프라인(off-line) 훈련과정과 온라인(on-line) 검출과정의 두 단계로 나누어진다. 훈련단계에서는 다양한 조명하에서 얻은 피부영상과 배경영상으로 구성된 훈련영상을 다차원의 열벡터로 표현하고 열벡터에 LDA(linear discriminant analysis)를 적용하여 선형변환된 특징벡터를 가지고 인덱싱 테이블을 생성한다. 검출단계에서는 카메라로 들어온 칼라영상을 여러 개의 조각영상으로 나누고 각각의 조각영상에 대하여 LDA를 적용하여 선형변환된 특징벡터를 구한다. 구해진 특징벡터를 미리 생성한 LDA 인덱싱 테이블에서 찾아 피부영역을 검출한다. 제안된 방법을 조명을 변화시킨 다양한 영상에 적용하여 실험한 결과 검출률이 상당히 우수함을 알 수 있었다.

• Proceedings of the Korea Multimedia Society Conference
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• 2002.05d
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• pp.553-558
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• 2002

본 논문에서는 컬러 영상에서 피부색 분할과 소벨 마스크를 이용한 얼굴 영역 검출 알고리즘을 제안한다. 제안된 알고리즘은 YCbCr색공간에서 Cb와 Cr성분을 이용하여 피부색 분할을 한 후에 형태학적 필터링과 레이블링을 통해 얼굴 후보 영역을 분리한다. 분리된 각 후보 영역에 대해 휘도 성분 Y에서 소벨 마스크의 수직 연산자를 적용한 후에 수평 투영을 통해 나타난 최대값을 눈의 위치로 검출해낸다. 비슷하게 얼굴의 지형적인 특징과 소벨 마스크의 수평 연산자를 적용하여 계산된 수평 투영의 최대값에 따라 턱 부분을 검출한다. 컴퓨터 시뮬레이션 결과는 제안된 방법이 기존의 방법보다 얼굴 영역을 정확하게 분리할 수 있음을 보인다.

• Proceedings of the KIEE Conference
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• 2000.07d
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• pp.2930-2932
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• 2000

In this paper. a robust gesture recognition system is designed and implemented to explore the communication methods between human and computer. Hand gestures in the proposed approach are used to communicate with a computer for actions of a high degree of freedom. The user does not need to wear any cumbersome devices like cyber-gloves. No assumption is made on whether the user is wearing any ornaments and whether the user is using the left or right hand gestures. Image segmentation based upon the skin-color and a shape analysis based upon the invariant moments are combined. The features are extracted and used for input vectors to a radial basis function networks(RBFN). Our "Puppy" robot is employed as a testbed. Preliminary results on a set of gestures show recognition rates of about 87% on the a real-time implementation.

• Journal of Korea Multimedia Society
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• v.9 no.2
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• pp.160-171
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• 2006

In this paper, we propose a face detection method using region segmentation to deal with complex images that have various environmental changes such as mixed background and light changes. To reduce the detection error rate due to background elements of the images, we segment the images with the JSEG method. We choose candidate regions of face based on the ratio of skin pixels from the segmented regions. From the candidate regions we detect face regions by using location and color information of eyes and eyebrows. In the experiment, the proposed method works well with the images that have several faces and different face size as well as mixed background and light changes.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.37 no.3
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• pp.88-97
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• 2000

This paper presents motion estimation method using region segmentation information Motion estimation which is very difficult to be implemented only by software because of intensive computation cost, is implemented by special-purpose hardware in real-time applications In this paper, we propose region based motion estimation algorithm which can reduce the computation cost by using region segmentation information and setting the variable search window compared with FSMA algorithm Secondly, another proposed algorithm is to segment semantic region like face for selective coding and transfer of semantic region using segmented region information This work alms to improving the subjective quality of skin color region or face region m the picture that has slow motion and IS mainly composed of one or two speakers of video conference and video telephony applications.

• Journal of KIISE:Computer Systems and Theory
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• v.35 no.12
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• pp.560-567
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• 2008

In this paper, we discuss a simple and straightforward binarization procedure which can generate black/white comics from the video frame image. Generally, the region of human's skin is colored white or light gray, while the dark region is filled with the irregular but regular patterns like hatching in most of the black/white comics. Note that it is not enough for simple threshold method to perform this work. Our procedure is decoupled into four processes. First, we use bilateral filter to suppress noise color variation and reserve boundaries. Then, we perform mean-shift segmentation for each similar colored pixels to be clustered. Third, the clustered regions are merged and extended by our region extension algorithm considering each color of their regions. Finally, we decide which pixels are on or off using by our dynamic binarization method based on the HSV color model. Our novel black/white cartooning procedure was so successful to render comic cuts from a well-known cinema in a resonable time and manual intervention.