• 제목/요약/키워드: precise image

검색결과 693건 처리시간 0.023초

선삭에서 회절격자를 이용한 크레이터마모 측정장치 개발에 관한 연구 (A Study on the Development of Measurement Setup for Crater Wear by Diffraction Grating in Turning)

  • 김영일;김세진
    • 한국정밀공학회지
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    • 제9권1호
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    • pp.82-95
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    • 1992
  • There is the high interest for sensing of tool wear with the aim of controlling machine tools productivity from the point of view of qualitity. Difficulties in this measurement are also known. This study is on the development of measurement setup for crater wear by CCD image inturning. In this study, the crater wear measurement system consists of the He-Ne gas laser, diffraction grating. CCD camera, noise filter, slit, microcomputer, diverging lens, converging lens and so on. He-Ne laser beam passes through a diverging lens and a diffraction grating is positioned properly. A converging lens focuses so that the interference fringes can be obtained on the crater wear. Performance test revealed that the developed image technique provides precise, absolute tool-wear quantification and reduces human measurement errors. The results obtained are as follows 1. The digitizing of one image requires less than 2ses. 2. It can give detailed information on crater wear with limited times and errors 3. All parameters required by specification are easily obtained for several points of the cutting edge.

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영상기반 구조물 트래킹 (Image-based Structure Tracking)

  • 한동엽
    • 한국항해항만학회:학술대회논문집
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    • 한국항해항만학회 2011년도 추계학술대회
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    • pp.131-132
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    • 2011
  • 수리학적인 모형실험을 이용하여 플로팅 구조물의 변위를 영상기반으로 관측할 수 있다. 디지털 캠코더 파일로부터 취득된 영상에 프레임 영상 추출, 특징점 추출 및 정합을 수행하였다. 정확한 결과 산출을 위하여 향후 개선된 실험환경에서 동영상 취득을 수행할 예정이다.

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Design of a PIV objective maximizing the image signal-to-noise ratio

  • Chetelat Olivier;Kim Kyung Chun
    • 한국가시화정보학회:학술대회논문집
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    • 한국가시화정보학회 2001년도 Proceedings of 2001 Korea-Japan Joint Seminar on Particle Image Velocimetry
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    • pp.123-137
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    • 2001
  • PIV (particle image velocimetry) systems use a camera to take snapshots of particles carried by a fluid at some precise instants. Signal processing methods are then used to compute the flow velocity field. In this paper, the design of the camera objective (optics) is addressed. The optimization is done in order to maximize the signal-to-noise ratio of in-focus particles. Four different kinds of noise are considered: photon shot noise, thermal and read noise, background glow shot noise, and noise made by the other particles. A semi-empirical model for the lens aberrations of a two-doublet objective is first addressed, since further, it is shown that lens aberrations (low f-value $f_{\#}$) should be used instead of the Fraunhofer diffraction (high f-value) for the fitting of the particle image size with the pixel size. Other important conclusions of the paper include the expression of optimum values for the magnification M, for the exposure period $\tau$ and for the pixel size $\xi$.

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화상처리 및 퍼지이론을 이용한 연삭 작업용 로봇의 형상인식 추종에 관한 연구 (A study of shape recognition and tracking of robot for grinding by using image processing and fuzzy theory)

  • 유송민
    • 한국공작기계학회:학술대회논문집
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    • 한국공작기계학회 2000년도 춘계학술대회논문집 - 한국공작기계학회
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    • pp.501-506
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    • 2000
  • Many research in Robot control has effectively proceeded on the development of Aritficial Intelligence Robot which is able to apply to the uncertain and monotonous operations which are repeated continuously in the industrial field. In this study, the precise shape recognition of base metal for welding was gained by mono CCD camera, and the gained data was transformed into Decimal code through Image Board in computer. And the Fuzzy Logic control system designed by use of Fuzzy rule was built to judge whether the base metals were precisely matched or not with Decimal code. Machanically manipulated Robot syst em was linked to Fuzzy Control system through image information, and ultimately, these systems will be able to apply for production system.

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SMD VR 형상특징을 적극적으로 이용한 VR의 위치 및 홈각도 계측 (The Accurate Measurement of Center Position and Orientation of SMD Mounted VR on PCB used geometric characteristics by Computer Vision in Real Time)

  • 김병엽;송재용;장경영;한창수;박종현;감도영
    • 한국정밀공학회:학술대회논문집
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    • 한국정밀공학회 1994년도 추계학술대회 논문집
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    • pp.504-509
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    • 1994
  • Recently SMT is used widely to place the SMD on bare board which is very small and highly integrated. And that is one of the issue directly in the electric products assembly process and especiallly in the field of optimizing electric product's performance, automatically tuning method which is highly demanded in the electronics industry. To tune product's performance, variable resistances's resistivity should be changed until it has good performance characteristics. In this paper to automatically regulate the 8mm camcoder's performance, it is proposed variable resistence's center position and orientation detection algorithm by image processing, which has very precise and accurate result. And we found optimal conditions which can have effects on image acquisition process. And real time processing is done by DSP to detect vr's center and orientation. This results make it possible to utilize proposed image processing algorithm and system directly in electronics industry.

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멀티 라인 레이저 비전 센서를 이용한 고속 용접선 추적 기술 (High speed seam tracking using multi-line laser vision sensor)

  • 성기은;이세헌
    • 한국정밀공학회:학술대회논문집
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    • 한국정밀공학회 2002년도 추계학술대회 논문집
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    • pp.584-587
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    • 2002
  • A vision sensor measure range data using laser light source. This sensor generally use patterned laser which shaped single line. But this vision sensor cannot satisfy new trend which needs laster and more precise processing. The sensor's sampling rate increases as reduced image processing time. However, the sampling rate can not over 30fps, because a camera has mechanical sampling limit. If we use multi line laser pattern, we will measure multi range data in one image. In the case of using same sampling rate camera, number of 2D range data profile in one second is directly proportional to laser line's number. For example, the vision sensor using 5 laser lines can sample 150 profiles per second in best condition.

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Monitoring the Wood Drying Process with an Image Processing System (I) : Drying Characteristics of Tree Disk of Black Locust

  • Lee, Hyoung-Woo;Kim, Byung-Nam
    • Journal of the Korean Wood Science and Technology
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    • 제29권3호
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    • pp.21-26
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    • 2001
  • Acquisition of precise information on drying characteristics of wood is indispensable for the improvement of drying schedules and wood quality. Recognition of the exact moisture content at which drying defects such as checks occur during drying with given drying conditions may be essential to reduce drying losses. In this study an image-processing system was combined with a laboratory-scale wood dry kiln for experiments and the surface of tree disk of black locust (Robinia pseudoacacia L.) was monitored to investigate the behavior of check formation over all the drying process. This system showed good potential for improving drying schedules and wood product quality.

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A Mask-based Gaussian Noise Removal Algorithm in Spatial Space

  • Seo, Hyun-Soo;Kim, Nam-Ho
    • Journal of information and communication convergence engineering
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    • 제5권3호
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    • pp.259-264
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    • 2007
  • According to the development and wide use of broad band internet etc., diverse application technologies using large capacity data such as images have been progressed and in these systems, for accurate acquisition and precise applications of an original signal, the degradation phenomenon generated in the transmission process etc. should be removed. Noises have become known as the main cause of the degradation phenomenon and especially Gaussian noise represents characteristics occurring dependently in image signals and degrades detail information such as edge. In this paper, we removed Gaussian noise using a subdivided nonlinear function according to a threshold value and analyzed the histogram acquired from an edge image to establish a threshold value adaptively, and strengthened detail information of image by using the postprocessing. In simulation results, the proposed method represented excellent performance from comparison of MSE with existing methods.

서브필드계조방식 디스플레이 장치를 위한 컨투어 쉐이프 매칭 기반의 모션벡터 추정 (Contour Shape Matching based Motion Vector Estimation for Subfield Gray-scale Display Devices)

  • 최임수;김재희
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2007년도 하계종합학술대회 논문집
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    • pp.327-328
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    • 2007
  • A contour shape matching based pixel motion estimation is proposed. The pixel motion information is very useful to compensate the motion artifact generated at the specific gray level contours in the moving image for subfield gray-scale display devices. In this motion estimation method, the gray level boundary contours are extracted from the input image. Then using contour shape matching, the most similar contour in next frame is found, and the contour is divided into segment unit. The pixel motion vector is estimated from the displacement of the each segment in the contour by segment matching. From this method, more precise motion vector can be estimated and this method is more robust to image motion with rotation or from illumination variations.

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Topographic Information Extraction from Kompsat Satellite Stereo Data Using SGM

  • Jang, Yeong Jae;Lee, Jae Wang;Oh, Jae Hong
    • 한국측량학회지
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    • 제37권5호
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    • pp.315-322
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    • 2019
  • DSM (Digital Surface Model) is a digital representation of ground surface topography or terrain that is widely used for hydrology, slope analysis, and urban planning. Aerial photogrammetry and LiDAR (Light Detection And Ranging) are main technology for urban DSM generation but high-resolution satellite imagery is the only ingredient for remote inaccessible areas. Traditional automated DSM generation method is based on correlation-based methods but recent study shows that a modern pixelwise image matching method, SGM (Semi-Global Matching) can be an alternative. Therefore this study investigated the application of SGM for Kompsat satellite data of KARI (Korea Aerospace Research Institute). Firstly, the sensor modeling was carried out for precise ground-to-image computation, followed by the epipolar image resampling for efficient stereo processing. Secondly, SGM was applied using different parameterizations. The generated DSM was evaluated with a reference DSM generated by the first pulse returns of the LIDAR reference dataset.