• 한국경영과학회:학술대회논문집
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• 대한산업공학회/한국경영과학회 2006년도 춘계공동학술대회 논문집
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• pp.1677-1683
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• 2006

Color image segmentation is useful for fast retrieval in large image database. For that purpose, new image segmentation technique based on the probability of pixel distribution in the image is proposed. Color image is first divided into R, G, and B channel images. Then, pixel distribution from each of channel image is extracted to select to which it is similar among the well known probabilistic distribution function-Weibull, Exponential, Beta, Gamma, Normal, and Uniform. We use sum of least square error to measure of the quality how well an image is fitted to distribution. That P.d.f has minimum score in relation to sum of square error is chosen. Next, each image is quantized into 4 gray levels by applying thresholds to the c.d.f of the selected distribution of each channel. Finally, three quantized images are combined into one color image to obtain final segmentation result. To show the validity of the proposed method, experiments on some images are performed.

• 한국잠사곤충학회지
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• 제43권1호
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• pp.29-32
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• 2001

At present, more than 300 races of the Silkworm are conserved and used as valuable genetic resources. But because of the uneffectiveness of manual data management, faster and systematic data base construction is needed. So, development of silkworm genetic resources management program has been begun and the result can be practically used. When developing the program, Visual basic was used for data input system construction, and MS Access for database. IIS(Internet Information System) and ASP(Active Server Page) was also used for searching data and information with Internet Web Server and Web Browser which is comfortable for constructing database and providing information. Data input item consists of 46 practical characteristics such as race name, moltinism, larval period and pupation percentage etc.. And these characteristics are classified with qualitative and quantitative character. Photographs of silkworm, cocoon and other related items were scanned and the image data was recorded on the database.

• 인터넷정보학회논문지
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• 제18권5호
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• pp.55-60
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• 2017

The pulmonary function test (PFT) is an essential data source for evaluating the effect of drugs on the lungs or the status of lung function. However, the numeric values of PFT cannot be easily used for clinical studies without labor-intensive manual efforts, because PFTs are usually recorded as image files. This study was aimed at constructing a de-identified, open-access PFT database with various clinical information. For constructing the PFT database, optical character recognition (OCR), regular expression, and the parsing technique were used to extract alphanumeric data from the PFT images in a Korean tertiary teaching hospital. This longitudinal observational database contains 413,000 measurements of PFT from 183,000 patients.

• Journal of Information Processing Systems
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• 제8권1호
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• pp.85-100
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• 2012

The Hartley transform based feature extraction method is proposed for fingerprint matching. Hartley transform is applied on a smaller region that has been cropped around the core point. The performance of this proposed method is evaluated based on the standard database of Bologna University and the database of the FVC2002. We used the city block distance to compute the similarity between the test fingerprint and database fingerprint image. The results obtained are compared with the discrete wavelet transform (DWT) based method. The experimental results show that, the proposed method reduces the false acceptance rate (FAR) from 21.48% to 16.74 % based on the database of Bologna University and from 31.29% to 28.69% based on the FVC2002 database.

• 대한안전경영과학회지
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• 제9권5호
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• pp.97-101
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• 2007

As the use of vehicle route application and LBS(location based service) are fast grew, the importance of maintaining road network data is also increased. To maintain road data accuracy, we can collect road data by driving real roads with probe vehicle, or using digital image processing for the extraction of roads from aerial imagery. After compare the new road data to current database, we can update the road database, but that job is mostly time and money consuming or can be inaccurate. In this paper, an updating method of using GPS(global positioning system) enabled cell phone is proposed. By using GPS phone, we can update road database easily and sufficiently accurately.

• 한국비블리아학회지
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• 제9권1호
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• pp.39-52
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• 1998

대학도서관에서 전자도서관 서비스를 위하여 전문(Full-Text) DB,특히 학위논문 DB를 구축하는 방법을 제시하였다. 알파벳 문서와 달리 한글 문서는 전문DB로 구축하는데 범용성을 가진 표현화된 방법이 많지 않다. 따라서 관련기술의 발전을 고려하여 적절한 DB 구축방법을 설계해야 한다. 이를 위하여 텍스트 형태와 이미지 형태의 파일 포맷, 각종 솔루션, 뷰어, 검색, 저작권을 고려하여 전문DB 구축원칙을 정하고, 고려대학교 도서관을 모델로 적용하여 전문DB 구축 원칙과 방향을 설정하였다.

• 조명전기설비학회논문지
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• 제16권3호
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• pp.1-6
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• 2002

본 논문은 건축물의 조명 디자인을 위한 경관조명 데이터베이스를 구축하기 위한 것으로서, 경관조명디자인에 전문적인 지식이 없는 건축가나 건축전공 학생들에게 인터넷 웹을 통해 디자인 도구로서 제공될 수 있도록 구성되었다. 본 연구에서는 각각의 건물 형태 및 조명기구 배치 구분에 따른 시뮬레이션 결과인 이미지를 축적하여 경관조명 데이터베이스를 구축하였다.

• 대한의생명과학회지
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• 제10권4호
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• pp.485-493
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• 2004

In the current field of Medical Informatics, the information increases, and changes fast, so we can access the various data types which are ranged from text to image type. A small number of technician digitizes these data to establish database, but it is needed a lot of money and time. Therefore digitization by many end-users confronting data and establishment of searching database is needed to manage increasing information effectively. New data and information are taken fast to provide the quality of care, diagnosis which is the basic work in the medicine. And also It is needed the medical database for purpose of private study and novice education, which is tool to make various data become knowledge. However, current medical database is used and developed only for the purpose of hospital work management. In this study, using text input, file import and object images are digitized to establish database by people who are worked at the medicine field but can not expertise to program. Data are hierarchically constructed and then knowledge is established using a tree type database establishment method. Consequently, we can get data fast and exactly through search, apply it to study as subject-oriented classification, apply it to diagnosis as time-depended reflection of data, and apply it to education and precaution through function of publishing questions and reusability of data.

• 정보처리학회논문지B
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• 제12B권1호
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• pp.31-38
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• 2005

본 논문은 컬러 인접성과 클러스터링 기법을 이용한 객체 기반 영상 검색 기법을 제안한다. 컬러 인접성이란 영상내의 서로 이웃한 영역에서 나타나는 컬러의 특징값을 말하고, 영상 데이터베이스로부터 사용자가 찾고자하는 영역과 유사한 후보 영역들을 우선 추출하는데 사용된다. 또한 클러스터링 기법은 후보 영역들 가운데 객체가 존재하는 영역만을 추출하는데 사용되고, 질의 영상과 데이터베이스 영상 사이의 유사도 측정을 위하여 히스토그램 인터섹션(histogram intersection) 방법이 사용된다. 제안하는 방법에서 사용되는 영상의 컬러쌍 정보는 객체의 이동, 회전 그리고 크기 변화에 강건하며, 실험을 통하여 제안하는 방법이 기존의 방법보다 우수함을 확인하였다.

• 한국대기환경학회지
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• 제31권6호
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• pp.585-592
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• 2015

In this study, by applying mobile based GIS and image analysis of particulate matter ($PM_{10}$) concentration in Seoul and Ulsan in Korea, to identify the user's location and also implemented the application to information exchange. It strengthened citizens' access to air quality information through the application and derived the expanded environment information sharing through real-time user participation. Through atmospheric concentrations image analysis, it showed a new environmental information construction possibility. It had the effect of expanding the information collecting through the local user participation on the limited information collected area which place is not yet constructed atmospheric monitoring network. Location-based particulate matter information service application provides a user location's $PM_{10}$ information from the 25 urban air monitoring network real-time database of the Ministry of Environment. Furthermore, if the user sent a picture of the atmosphere to the server, should match the image density values of the database and express on Seoul's maps through the IDW interpolation. And then a $PM_{10}$ concentration result is transmitted to user in real time.