• 제목/요약/키워드: image processing system

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국가기상위성센터 영상처리 시스템 구축을 위한 국내외 기상위성 영상처리 시스템 아키텍처 분석 (Survey of System Architectures of Meteorological Satellite Image Processing System for Building NMSC Image Processing Systems)

  • 국승학;서용진;김현수;사공영보;이봉주;장재동;오현종
    • 대한원격탐사학회지
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    • 제28권1호
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    • pp.101-116
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    • 2012
  • 본 논문에서는 기존에 구축되어있는 위성영상처리 시스템의 구축현황을 살펴보고, 향후 국내 기상위성 영상처리 시스템 구축에서 고려해야할 사항에 대해 살펴본다. 기존의 위성영상처리 시스템은 운영 중인 개별 위성에 대한 영상의 수집, 처리, 배포 기능을 구현한 시스템이 대부분이었다. 그러나 향후 지구환경 감시를 위한 다양한 위성들의 개발에 따른 새로운 시스템의 통합, 기존 시스템에 대한 유지보수에 대한 문제점이 지적되고 있다. 미국의 NOAA, NWS, 유럽의 ESA등에서는 이러한 문제점을 해결하기 위해 기존의 시스템에 대한 개선 사업을 진행 중에 있다. 이에 본 논문에서는 현재 국내외에서 개발되는 위성영상처리시스템의 구축 현황을 살펴보고, 개발 이슈 및 개발 전략에 대해 살펴보고자 한다.

선박 자동접안시스템 구축을 위한 기초연구 (A Study on the Development of Automatic Ship Berthing System)

  • 김영복;최용운;채규훈
    • 동력기계공학회지
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    • 제10권4호
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    • pp.139-146
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    • 2006
  • In this paper vector code correlation(VCC) method and an algorithm to promote the image processing performance in building an effective measurement system using cameras are described for automatically berthing and controlling the ship equipped with side thrusters. In order to realize automatic ship berthing, it is indispensable that the berthing assistant system on the ship should continuously trace a target in the berth to measure the distance to the target and the ship attitude, such that we can make the ship move to the specified location. The considered system is made up of 4 apparatuses compounded from a CCD camera, a camera direction controller, a popular PC with a built in image processing board and a signal conversion unit connected to parallel port of the PC. The object of this paper is to reduce the image processing time so that the berthing system is able to ensure the safety schedule against risks during approaching to the berth. It could be achieved by composing the vector code image to utilize the gradient of an approximated plane found with the brightness of pixels forming a certain region in an image and verifying the effectiveness on a commonly used PC. From experimental results, it is clear that the proposed method can be applied to the measurement system for automatic ship berthing and has the image processing time of fourfold as compared with the typical template matching method.

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콘크리트 터널 라이닝 균열검사 시스템 개발에 관한 연구 (Development of Inspection System for Crack on the Lining of Concrete Tunnel)

  • 고봉수;손영갑;신동익;김병화;한창수
    • 제어로봇시스템학회논문지
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    • 제10권1호
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    • pp.66-72
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    • 2004
  • To assess tunnel safety, cracks in tunnel lining are measured by inspectors, who observe cracks with their naked eyes and record them. But manual inspection is slow, and measured crack data is subjective. Therefore, this study proposes inspection system fur measuring cracks in tunnel lining and providing objective crack data to be used in safety assessment. The system consists of On-vehicle system and Laboratory system. On-Vehicle system acquires image data with line CCD camera on scanning along the tunnel lining. Laboratory system extracts crack information from the acquired image using image processing. Measured crack information is crack thickness, length and orientation. To improve accuracy of crack recognition, the geometric properties and patterns of cracks in concrete structure were applied to image processing. The proposed system was verified with experiments in both laboratory environment and field environment such as subway tunnel.

돼지의 체온 조절 행동 분류를 위한 영상처리 시스템 개발 (Development of an Image Processing System for Classifying the Pig's Thermoregulatory Behavior)

  • 장홍희;장동일;임영일;임정택
    • 한국축산시설환경학회지
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    • 제5권3호
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    • pp.139-148
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    • 1999
  • This study was conducted to develop an image processing system which can classify the pig's thermoregulatory behavior under the different environmental conditions. The 4 pigs of 25kg were housed in the environmentally controlled chamber(1.4m$\times$2.2m floor space). Postural behavior of the pigs was captured with an CCD color camera. The raw behavioral images were processed by thresholoding, reduction, separation of slightly contacted pigs, labeling, noise removal, computation of number of labels, and classification of the pig's behavior. The correct classification rate of the image processing system was 97.8%(88 out of 90 testing images). The results of this study showed that the image processing system could be used for a behavior-based automatic environmental controller.

영상처리기법을 이용한 균열 진전 측정시스템 개발 (Development of Measurement System for Crack Growth Using Image Processing Technology)

  • 류대현;남승훈;김용일;김시천
    • 한국안전학회지
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    • 제17권4호
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    • pp.11-18
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    • 2002
  • We proposed a new experimental method which is required to easily observe the growth behavior of fatigue cracks. In the proposed method, the image data of cracks were stored into the computer while the cyclic loading was interrupted. After testing, crack length was determined using an image processing software which was developed by authors. By comparing the data measured by the image processing system with those by the manual measurement with a microscope, the effectiveness of the image processing system was established. If the proposed method is used to monitor and observe the crack growth behavior automatically, the time and efforts for fatigue test could be dramatically reduced.

기계 시각과 인공 신경망을 이용한 파란의 판별 (Detection of Surface Cracks in Eggshell by Machine Vision and Artificial Neural Network)

  • 이수환;조한근;최완규
    • Journal of Biosystems Engineering
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    • 제25권5호
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    • pp.409-414
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    • 2000
  • A machine vision system was built to obtain single stationary image from an egg. This system includes a CCD camera, an image processing board and a lighting system. A computer program was written to acquire, enhance and get histogram from an image. To minimize the evaluation time, the artificial neural network with the histogram of the image was used for eggshell evaluation. Various artificial neural networks with different parameters were trained and tested. The best network(64-50-1 and 128-10-1) showed an accuracy of 87.5% in evaluating eggshell. The comparison test for the elapsed processing time per an egg spent by this method(image processing and artificial neural network) and by the processing time per an egg spent by this method(image processing and artificial neural network) and by the previous method(image processing only) revealed that it was reduced to about a half(5.5s from 10.6s) in case of cracked eggs and was reduced to about one-fifth(5.5s from 21.1s) in case of normal eggs. This indicates that a fast eggshell evaluation system can be developed by using machine vision and artificial neural network.

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인간의 감성을 고려한 칼라 Fuzzy 영상처리 (Human Sensory of Perception Oriented Color Fuzzy Image Processing)

  • 박영현;김승우;우동민;박민용
    • 전자공학회논문지B
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    • 제29B권3호
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    • pp.47-54
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    • 1992
  • This paper presents an image processing method which emphasizes a certain perception feeling on a color image. A series of fuzzy image processing schemes are proposed, which transform an color image represented in the LCH coordinate system to the image with a certain perception feeling based on the rules and fuzzy inference. To obtain the rules, results of the sensory perception tests are applied to the quantification theory. The proposed schemes can be effectively utilized in the color copy system, since printed outputs possibly look better than originals.

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웹 환경에서의 원격탐사기법을 이용한 대용량 영상자료 서비스 시스템개발 (Development of Very Large Image Data Service System with Web Image Processing Technology)

  • 이상익;신상희;최윤수;고준환
    • 한국측량학회:학술대회논문집
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    • 한국측량학회 2004년도 춘계학술발표회논문집
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    • pp.215-220
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    • 2004
  • Satellite and aerial images are very useful means to monitor ecological and environmental situation. Nowadays more and more officials at Ministry of Environment in Korea need to access and use these image data through networks like internet or intranet. However it is very hard to manage and service these image data through internet or intranet, because of its size problem. In this paper very large image data service system for Ministry of Environment is constructed on web environment using image compression and web based image processing technology. Through this system, not only can officials in Ministry of Environment access and use all the image data but also can achieve several image processing effects on web environment. Moreover officials can retrieve attribute information from vector GIS data that are also integrated with the system.

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영상처리기술을 이용한 건축 구조물의 실시간 변위측정 시스템의 개발 (Development of Real-Time Displacement Measurement System for Multiple Moving Objects of construction structures using Image Processing Techniques)

  • 김성욱;서진호;김상봉
    • 대한기계학회:학술대회논문집
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    • 대한기계학회 2003년도 춘계학술대회
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    • pp.764-769
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    • 2003
  • The paper introduces a development result for displacement measurement system of multiple moving objects based on image processing technique. The image processing method adopts inertia moment theory for obtaining the centroid of the targets and basic processing algorithms of gray, binary, closing, labeling and etc. To get precise displacement measurement in spite of multiple moving targets, a CCD camera with zoom is used and the position of camera is changed by a pan/tilt system. The fiducial marks on the fixed positions are used as the sensing points for the image processing to recognize the position errors in directions of X -Y coordinates. The precise alignment device is pan /tilt of X - Y type and the pan/tilt is controlled by DC servomotors which are driven by 80c196kc microprocessor based controller. The centers of the fiducial marks are obtained by a inertia moment method. By applying the developed precise position control system for multiple targets, the displacement of multiple moving targets are detected automatically and are stored in the database system in a real time. By using database system and internet, displacement data can be confirmed at a great distance and analyzed. The developed system shows the effectiveness such that it realizes the precision about 0.12mm in the position control of X -Y coordinates.

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영상처리기술을 이용한 구조물의 변위 측정 시스템의 개발 (Development of Displacement Measurement System of Structures Using Image Processing Techniques)

  • 김성욱;김상봉;서진호
    • 제어로봇시스템학회논문지
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    • 제10권8호
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    • pp.673-679
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    • 2004
  • In this paper, we develop the displacement measurement system of multiple moving objects based on image processing techniques. The image processing method adopts inertia moment theory for obtaining the centroid measurement of the targets and basic processing algorithm of gray, binary, closing, labeling and so on. To get precise displacement measurement in spite of multiple moving targets, a CGD camera with zoom is used and the position of camera is changed by a pan/tilt system. The fiducial marks on the fixed positions are used as the sensing points for the image processing to recognize the position errors in direction of XY-coordinates. The precise alignment device is pan/tilt of XY-type and the pan/tilt is controlled by DC servomotors which are driven by a microprocessor. Morover, the centers of fiducial marks are obtainted by an inertia moment method. By applying the developed precise position control system for multiple targets, the displacement of multiple moving targets are detected automatically and are also stored in the database system in a real time. By using database system and internet, the displacement datum can be confirmed at a great distance and analyzed. Finally, the effectiveness of developed system is shown in experimental results and realized the precision about 0.12[mm] in the position control of XY-coordinates.