• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2003년도 Proceedings of ACRS 2003 ISRS
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• pp.727-731
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• 2003

ASTER image has some advantages for classification such as 15 spectral bands and 15m ${\sim}$ 90m spatial resolution. However, in the classification using general remote sensing image, shadow areas are often classified into water area. It is very difficult to divide shadow and water. Because reflectance characteristics of water is similar to characteristics of shadow. Many land cover items are consisted in one pixel which is 15m spatial resolution. Nowadays, very high resolution satellite image (IKONOS, Quick Bird) and Digital Surface Model (DSM) by air borne laser scanner can also be used. In this study, mixed pixel analysis of ASTER image has carried out using IKONOS image and DSM. For mixed pixel analysis, high accurated geometric correction was required. Image matching method was applied for generating GCP datasets. IKONOS image was rectified by affine transform. After that, one pixel in ASTER image should be compared with corresponded 15×15 pixel in IKONOS image. Then, training dataset were generated for mixed pixel analysis using visual interpretation of IKONOS image. Finally, classification will be carried out based on Linear Mixture Model. Shadow extraction might be succeeded by the classification. The extracted shadow area was validated using shadow image which generated from 1m${\sim}$2m spatial resolution DSM. The result showed 17.2% error was occurred in mixed pixel. It might be limitation of ASTER image for shadow extraction because of 8bit quantization data.

• 한국측량학회지
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• 제17권2호
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• pp.167-176
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• 1999

각종 영상매체와 수치영상처리 기술이 발전함에 따라 수치영상을 이용한 대상물의 정량적 또는 정성적 분석에 관한 연구가 활발히 진행되고 있다. 그러나 높은 정확도의 영상해석에 있어 고해상도의 영상획득 시스템에 대한 의존도가 매우 높은 실정이며 이들은 고가의 장비라는 문제점을 안고 있다. 본 연구에서는 저가의 영상획득 시스템에 의해 획득한 다중영상을 강화ㆍ분석하여 최적의 강화조건을 도출하고 이를 적용하여 3차원 정확도 분석을 실시하였다. 저해상도의 원시영상과 최적의 조건에 의해 강화한 영상을 이용하여 평균 3차원 위치오차를 분석한 결과, 강화영상은 원시영상에 비해 10％정도 향상된 정확도를 보였다.

• 한국시스템다이내믹스연구
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• 제12권3호
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• pp.5-23
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• 2011

Studies in social science are performed on the language of social actors. While a metaphor analysis focuses on the meaning of the language, a cognitive map analysis deals with its external relationships. If we can put together both analyses, it will be possible to investigate the internal meanings and external relationship of the language and image at the same time. In this paper, metaphor analysis and cognitive map approach is applied to find the image of local governments. This study shows how to link metaphor analysis to the cognitive map and the benefit of using both approaches together.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1989년도 한국자동제어학술회의논문집; Seoul, Korea; 27-28 Oct. 1989
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• pp.451-456
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• 1989

New image coding system for facial images called 'Knowledge-based image coding' is described, in which input image is analyzed and output image is synthesized using analysis results. Analysis and synthesis method of facial expressions are presented. Synthesis rules are determined on the basis of facial muscles and are also used in analysis process to produce a faithful reconstruction of the original image. A number of examples are shown.

• 대한임베디드공학회논문지
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• 제9권6호
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• pp.345-351
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• 2014

This paper presents pedestrian recognition to improve performance for vehicle safety system or surveillance system. Pedestrian detection method using HOG (Histograms of Oriented Gradients) has showed 90% recognition rate. But if someone takes a picture in the rain, the image may be distorted by rain streaks and recognition rate goes down by 62%. To solve this problem, we applied image decomposition method using MCA (Morphological Component Analysis). In this case, rain removal method improves recognition rate from 62% to 70%. However, it is difficult to apply conventional image decomposition method using MCA on vehicle safety system or surveillance system as conventional method is too slow for real-time system. To alleviate this issue, we propose a rain removal method by using low-pass filter and DCT (Discrete Cosine Transform). The DCT helps separate the image into rain components. The image is removed rain components by Butterworth filtering. Experimental results show that our method achieved 90% of recognition rate. In addition, the proposed method had accelerated processing time to 17.8ms which is acceptable for real-time system.

• 대한기계학회논문집B
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• 제27권11호
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• pp.1534-1541
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• 2003

A new window-based, user-friendly fringe analysis system is developed, especially for analyzing noisy interferograms. The system integrates three major techniques, that is fringe tracking, Phase shifting, and Fourier transform, into a single shell by employing a unified procedure. Since the system is made in a modular fashion and all processing modules can be shared for any technique, a user can select necessary modules and easily edit the applying order of them based on the user's analysis strategy, which should be changed depending on the noise level of the image. The system provides a high-level GUI and a variety of image handling tools and therefore users can easily access the system and produce the optimal results without giving up in the middle of a process even for severely noise-contaminated interferometric images.

• 산업경영시스템학회지
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• 제28권3호
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• pp.87-97
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• 2005

This study deals with the analysis on the consciousness and image character of the internet shopping mall. As consciousness analysis result of internet shopping mall consumer, 'cheap price' and 'convenience' are evaluated high by reason that buy goods/service. 'Delivery delay' shows that deficiency of swiftness is indicated preferentially by shortcoming when the goods/service are purchased at the internet shopping mall. Consumer is prferring most 'deferred payment' with consumer's protection system of internet shopping mall. In image character of internet shopping mall, computer system speed and swiftness of reaction time, intimacy of shopping mall site design, delivery system trustability, goods/service contiguity, trustability of billing system, recognition shopping mall company, consistency about good service etc., showed high assessment, but comparative satisfaction is not high in solution at authoritativeness of personal information leakage prevention, problem occurrence.

• 한국정보전자통신기술학회논문지
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• 제5권2호
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• pp.74-80
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• 2012

본 논문에서는 산업현장에서 이용되고 있는 비전 시스템 기반의 부품검사 시스템을 개발하였다. 구현된 시스템은 3대의 CCD 카메라로 구성되었고 각각 부품의 사선부, 상단부 및 측면부의 영상을 취득한다. 취득된 부품 영상의 프로파일을 분석하여 영상의 이진화를 위한 임계값을 효과적으로 구하였다. 구현된 시스템을 실제 산업현장에 설치하여 일련의 실험을 수행하였고, 실험 결과 제안하는 프로파일 분석 기반의 형상검사를 이용하여 부품의 불량 검출 및 부품 분류의 성능이 우수함을 보였다.

• 한국인터넷방송통신학회논문지
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• 제12권5호
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• pp.219-227
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• 2012

본 논문에서는 색 정보 분석기법을 이용한 효율적인 CCTV 영상 보안 시스템의 설계 및 구현에 관하여 기술한다. 기존의 방법에서는 주로 압축 알고리듬과 암호화 기법을 이용하여 데이터 처리 비용을 절감하였다. 그러나 본 논문에는 데이터의 절대량을 감소시키기 위하여 영상 데이터의 중복 요소 제거를 위한 색 정보 분석 기법을 제안한다. 또한 SSL/VPN 터널링 기법을 이용하여 CCTV 영상 보안 시스템의 성능을 향상 시키는 방법을 제안한다. 본 논문에서 제안하는 방법을 사용하면 대용량 정보의 효율적인 처리 및 보안 문제를 해결할 수 있으며, 구현 결과를 통하여 처리 대상이 되는 영상 데이터가 대폭 감소됨을 확인하였다.

• 산업융합연구
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• 제13권2호
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• pp.45-54
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• 2015

This Study aims to analyze the factors for the success of commercialization of the facial extraction and recognition image security information system of the domestic companies in Korea. As the results of the analysis, the internal factors for the success of commercialization of the facial extraction and recognition image security information system of the company were found to include (1) Holding of technology for close range facial recognition, (2) Holding of several facial recognition related patents, (3) Preference for the facial recognition security system over the fingerprint recognition and (4) strong volition of the CEO of the corresponding company. On the other hand, the external environmental factors for the success were found to include (1) Extensiveness of the market, (2) Rapid growth of the global facial recognition market, (3) Increased demand for the image security system, (4) Competition in securing of the engine for facial extraction and recognition and (5) Selection by the government as one of the 100 major strategic products.