• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2003년도 신호처리소사이어티 추계학술대회 논문집
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• pp.529-532
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• 2003

In this paper, we describe new method to detect face in real-time. We use color information, edge information, and binary information to detect candidate regions of eyes from input image, and then extract face region using the detected eye pall. We verify both eye candidate regions and face region using Support Vector Machines(SVM). It is possible to perform fast and reliable face detection because we can protect false detection through these verification processes. From the experimental results, we confirmed the proposed algorithm shows very excellent face detection performance.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2003년도 하계종합학술대회 논문집 Ⅳ
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• pp.1960-1963
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• 2003

For applications such as video surveillance and human computer interface, we propose an efficiently integrated method to detect and track faces. Various visual cues are combined to the algorithm: motion, skin color, global appearance and facial pattern detection. The ICA (Independent Component Analysis)-SVM (Support Vector Machine based pattern detection is performed on the candidate region extracted by motion, color and global appearance information. Simultaneous execution of detection and short-term tracking also increases the rate and accuracy of detection. Experimental results show that our detection rate is 91％ with very few false alarms running at about 4 frames per second for 640 by 480 pixel images on a Pentium IV 1㎓.

• 대한원격탐사학회지
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• 제9권1호
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• pp.37-49
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• 1993

In this research, the WEF AX and APT(Automatic Picture Transmission) data receiving and image processing software using PC/AT called WADIPS(WEFAX and APT Data Integrated Processing System) Software has been developed. The main functions of WADIPS software are follow : 1) Real time receiving and saving to hard disk of WEFAX and APT data 2) B/W(Black and White) and false color display 3) Image enhancement using histogram stretch and color control 4) 2-4 times zooming 5) Hard copy of data using dithering and patterning 6) Animation 7) File management 8) On line help. WADIPS can be used in the offices or persons need real time meteorological information and education offices to teach the image processing technique and general characteristics of meteorological satellites.

• Journal of Information Processing Systems
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• 제15권1호
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• pp.159-168
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• 2019

Accurate forest fires detection algorithms remain a challenging issue, because, some of the objects have the same features with fire, which may result in high false alarms rate. This paper presents a new video-based, image processing forest fires detection method, which consists of four stages. First, a background-subtraction algorithm is applied to detect moving regions. Secondly, candidate fire regions are determined using CIE $L{\ast}a{\ast}b{\ast}$ color space. Thirdly, special wavelet analysis is used to differentiate between actual fire and fire-like objects, because candidate regions may contain moving fire-like objects. Finally, support vector machine is used to classify the region of interest to either real fire or non-fire. The final experimental results verify that the proposed method effectively identifies the forest fires.

• 대한전자공학회논문지SP
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• 제46권3호
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• pp.112-118
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• 2009

피부색 검출 기법은 안면 정보를 이용한 체질 진단 및 건강 진단, 인간과 로봇과의 상호작용, 영상 검색 시스템 등 다양한 응용분야에서 사람의 얼굴과 손의 검출을 위해 많이 사용되어 왔다. 비디오 영상의 경우 조명이나 환경 변화에 강인한 피부색 영역의 추적을 위해 매 프레임마다 대상 영역의 피부색 모델을 업데이트 하는 것이 일반적이나, 단일 영상에서 피부색 영역을 검출하거나 비디오 영상의 첫 프레임에서 피부색 영역을 검출할 때에는, 많은 연구들이 하나의 고정된 피부색 모델을 이용하기 때문에 입력 영상의 특징에 따라 낮은 검출율이나 높은 긍정 오류율이 발생하는 경우가 많다. 이러한 문제점을 해결하기 위해 본 논문에서는 피부색 검출 결과를 피드백 받아 피드백 받은 정보를 바탕으로 피부색 검출 조건을 수정하는 과정을 반복함으로써 다양한 환경 조건들을 가지는 단일 영상에 대해 효과적으로 피부색을 검출할 수 있는 방법을 제안한다.

• 한국지능시스템학회논문지
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• 제13권4호
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• pp.461-468
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• 2003

In a sequence of images obtained by surveillance cameras, facial regions appear very small and their colors change abruptly by lighting condition. This paper proposes a new face detection scheme, robust on complex background, small size, and lighting conditions. The proposed method is consisted of three processes. In the first step, the candidates for the face regions are selected using face color distribution and motion information. In the second stage, the non-face regions are removed using face color ratio, boundary ratio, and average of column-wise intensity variation in the candidates. The face regions containing eyes and mouth are segmented and classified, and then they are scored using their topological relations in the last step. To speed up and improve a performance the above process, a block based image segmentation technique is used. The experiments have shown that the proposed algorithm detects faced regions with more than 91% of accuracy and less than 4.3% of false alarm rate.

• 한국측량학회지
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• 제19권2호
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• pp.109-115
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• 2001

최근 수치사진측량시스템의 도입으로 수치정사영상의 활용도가 높아지고 있으며, 이에 따라 수치정사영상으로부터 지형지물의 반자동 또는 자동 추출에 관한 연구가 대두되고 있지만, 최근 많은 연구보고서에 의하면 흑백항공사진에서의 지형지물을 판단하거나 속성인식에 한계가 있음을 알 수 있다. 본 연구에서는 천연색 항공사진 영상을 흑백항공사진 영상과 비교, 분석하여 천연색 항공사진 영상의 특성을 분석하였으며, 반자동으로 지형요소를 추출하는 알고리즘을 개발하였고, 추출한 지형요소를 국립지리원에서 제작하는 1:5,000 수치지형도와 비교하여 반자동으로 추출가능한 지형요소를 분석하였다. 이러한 결과를 토대로 천연색 항공사진영상을 이용한 지형요소 추출 가능성과 지형요소 추출시 문제점을 분석하였고, 향후 연구에 대한 방안을 제시하였다.

• 디지털융복합연구
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• 제7권2호
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• pp.93-102
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• 2009

Since video is composed of unstructured data with massive storage and linear forms, it is essential to conduct various research studies to provide the required contents for users who are accustomed to dealing with standardized data such as documents and images. Previous studies have shown the occurrence of undetected and false detected shots. This thesis suggested shot verification and video retrieval system using visual rhythm to reduce these kinds of errors. First, the system suggested in this paper is designed to detect the parts easily and quickly, which are assumed as shot boundaries, just by changing the visual rhythm without playing the image. Therefore, this enables to delete the false detected shot and to generate the unidentified shot and key frame. The following are the summaries of the research results of this study. Second, during the retrieving process, a thumbnail and keyword method of inquiry is possible and the user is able to put some more priorities on one part than the other between the color and shape. As a result, the corresponding shot or scene is displayed. However, in the case of not finding the preferred shot, the key picture frame of similar shot is supplied and can be used in the further inquiry of the next scene.

• 정보처리학회논문지B
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• 제14B권2호
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• pp.65-70
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• 2007

1990년대 이후 적조현상은 전 세계적으로 환경문제의 큰 관심이 되고 있으며 선진각국들은 해상용 위성을 이용하여 조기에 적조영역을 검출하는 연구를 진행하고 있다. 그러나 우리나라는 대부분의 해안이 굴곡이 심하고 연안에서 탁류가 많아 저해상도인 해상용 위성으로 소규모 적조 영역을 검출하기가 어렵다. 또한 기존의 적조영역 검출은 해상용 위성영상의 해색(sea color) 한 가지 특징에 의한 방법이 대부분이었다. 이처럼 해색과 같이 영상에서 소수의 특징을 가지고 적조영역을 검출한다는 것은 false negative 오류를 유발할 수 있다. 따라서 본 논문에서는 고정밀 육상용 위성의 남해안 영상에 대해 GLCM(Gray Level Co occurrence Matrix)의 질감 정보 6가지를 이용해서 질감정보를 취득하고 이 정보로부터 주성분 분석을 통해 차원을 축소하여 불필요한 성분을 제거한 후 2개의 주성분 누적 영상으로 변환시켰다. 실험결과 2개의 주성분 변환 누적 영상의 고유값은 94.6%였으며, 이를 해색 한 가지 만을 이용한 적조영역 영상 및 주성분을 모두 가지고 있는 영상들과 비교했을 때 가장 정확한 결과를 나타내었다. 그리고 검출된 적조영역을 질감에 대한 통계적 특성을 이용하여 탁류가 많은 연안 및 적조현상이 없는 바다와 비교하여 정량적으로 구분하였다.

• 대한임상검사과학회지
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• 제45권4호
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• pp.149-153
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• 2013

Candidiasis is a fungal infection of the most common causes; generally, opportunistic infections occur often in patients with weakened immune systems. Because of high rates in fungal infection patients and increasing frequency of being isolated from clinical materials, quickly identifying of Candida albicans is critical. By identifying 404 yeast cell strains of referred samples via API 20C kits, NGL and PRO tests and Germ tube (GT) test were conducted and compared. In the 3.0 McFarland yeast cells, 0.1% ${\rho}-nitrophenyl-N-acetyl-{\beta}-D-galactosaminide$ (NGL) and 0.04% ${\small{L}}$-proline ${\beta}$-naphtylamide (PRO) were each put in test tubes and incubated at $35^{\circ}C$ for 15, 30, 60 and 90 minutes. Afterwards, 1 drop of 2% NaOH was applied, and if the color turned yellow; it was positive for NGL test. Afterwards, 1% ${\rho}$-dimethylaminocinnamaldehyde was applied, and if the upper layer turned pink or red, it was positive for PRO test. NGL and PRO tests were conducted for all C. albicans and identified accurately within 30 minutes. In NGL, PRO test, false-positive, negative were not seen, whereas, GT test showed false-positive in 1 strain and false-negative in 3 strains. Therefore, sensitivity and specificity of NGL, PRO tests were 100% and 99.5%, respectively, and positive and negative predictive rate were 99.5% and 100%, respectively. However, GT test sensitivity and specificity were 98.5% and 99.5%, respectively, and positive and negative predictive rates were 99.5% and 98.5%, respectively. In conclusion, NGL, PRO tests are better than GT tests for sensitivity and specificity, therefore, these reliable tests will be useful in clinical laboratories.