• 제목/요약/키워드: Particle Image Processing

검색결과 185건 처리시간 0.034초

LSPIV를 적용시 오차발생 요인 분석 (Analysys on Factors Affecting Velocity Errors On the Application of LSPIV)

  • 김영성
    • 한국수자원학회:학술대회논문집
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    • 한국수자원학회 2008년도 학술발표회 논문집
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    • pp.1779-1783
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    • 2008
  • 영상해석을 통한 흐름해석의 방법인 Large-Scale Particle Image Velocimetry (LSPIV)는 실험실내의 소규모 흐름해석에 이용하던 Particle Image Velocimetry (PIV)를 자연하천이나 실험실에서 넓은 영역($4m^2{\sim}45,000m^2$)에 적용할 수 있도록 확장시킨 것으로 지난 10여년전부터 세계적으로 널리 이에 대한 연구가 진행되고 있다. PIV는 seeding, illumination, recording 그리고 image processing으로 구성된다. LSPIV(Large Scale PIV)는 PIV의 기본원리를 근거로 하여 기존의 PIV에 비하여 실험실 내에서의 수리모형실험이나 일반 하천에서의 유속측정과 같은 큰 규모의 흐름해석을 할 수 있도록 seeding, illumination에 대한 조정이 필요 하고, 촬영된 image에 대한 왜곡을 없애는 작업이 필요하다. LSPIV는 PIV의 네 가지 단계를 포함하여 seeding, illumination, recording, image transformation, image processing 및 post-processing의 여섯 단계로 구성되어진다 (Li, 2002). LSPIV의 적용시 각 단계마다 유속계산시 오차를 발생시키는 27가지의 요인들이 존재하고 있는바 (Kim, 2006), 본 연구에서는 이들 중 실내의 실험실에서 파악이 가능한 인자들에 대해 그들 각각의 인자들이 유속 측정에 미치는 오차의 정도를 파악하고자 하였다. 본 연구에서는 LSPIV의 적용시 이용되는 이미지의 개수와 이미지 촬영시 적용된 이미지의 해상도에 따른 오차의 발생 정도를 조사하였다. 이미지 촬영에 있어서 비디오카메라를 이용할 경우 촬영시간에 따라 많은 수의 이미지를 취득할 수 있은바 이미지의 수에 따른 유속계산오차를 파악하고자 하였다. 또한 디지털 카메라를 이용할 경우 여러 가지 이미지 해상도를 이용할 수 있으므로 적용한 이미지 해상도에 따른 유속계산에 미치는 오차의 크기를 파악하고자 하였다. 이미지의 갯수가 유속계산시 미치는 오차의 영향의 정도를 조사하기 위해서 초당 30 frame을 촬영할 수 있는 비디오카메라를 이용하여 91초 동안 촬영된 이미지로부터 매 5번째의 이미지를 추출하여 455개의 이미지를 준비하였고 이로부터 이미지수를 10, 50, 100, 200, 300, 400의 순서로 증가시키면서 이미지 개수로부터 나타나는 유속계산 오차를 조사한 결과 이미지의 개수가 50매 이상인 경우는 이로 인한 오차가 1% 이하로 감소함을 파악하였다. 촬영된 이미지의 해상도가 유속계산시 미치는 영향을 조사하기 위해 디지털카메라를 적용하여 세가지 이미지 해상도(640*480, 1280*960, 2048*1536 pixel)로 변화시키면서 유속측정 오차를 분석한 결과 저해상도의 이미지를 이용한 경우 고해상도 이미지를 이용한 경우와 비교하여 3% 가량의 차이를 나타내었다.

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인장하중에 의한 Al 합금내 크랙형성 복합상의 자동검출 및 정량분석 (Automatic Detection and Characterization of Cracked Constituent Particles/Inclusions in Al-Alloys under Uniaxial Tensile Loading)

  • 이순기;장성호;김용찬
    • 대한금속재료학회지
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    • 제47권1호
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    • pp.7-12
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    • 2009
  • The detailed quantitative microstructural data on the cracking of coarse constituent particles in 7075 (T651) series wrought Al-alloys have been studied using the utility of a novel digital image processing technique, where the particle cracks are generated due to monotonic loading. The microstructural parameters such as number density, volume fraction, size distribution, first nearest neighbor distribution, and two-point correlation function have been quantitatively characterized using the developed technique and such data are very useful to verify and study the theoretical models for the damage evolution and fracture of Al-alloys. The data suggests useful relationships for damage modeling such as a linear relationship between particle cracking and strain exists for the uniaxial tensile loading condition, where the larger particles crack preferentially.

디지털 holographic PTV 측정을 위한 디지털 영상처리기법에 관한 연구 (Digital image processing techniques of digital holographic PTV measurement)

  • 김석;이상준
    • 한국가시화정보학회:학술대회논문집
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    • 한국가시화정보학회 2005년도 추계학술대회 논문집
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    • pp.1-5
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    • 2005
  • The digital HPTV velocity field measurement consists of four steps: recording, numerical reconstruction, particle extraction and velocity extraction. In the velocity extraction process, we improved PTV algorithm to extract the displacement of particle each placed in 3D space. Because a digital recording device was used, some factors such as a spatial resolution, numerical aperture, and particle concentration can affect the performance of the digital HPTV. Especially, a particle concentration ($C_{o}$) affected tile reconstruction efficiency in numerical reconstruction and particle extraction process. In this paper, the reconstruction efficiency was analyzed experimentally with different particle concentration. Optimal reconstruction efficiency was shown in the range of $C_{o}$=$13\∼15$ particles/$mm^{3}$.

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컴퓨터 영상처리에 의한 윤활시스템의 상태진단

  • 서영백;박흥식;전태옥;이충엽
    • 한국윤활학회:학술대회논문집
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    • 한국윤활학회 1997년도 제25회 춘계학술대회
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    • pp.224-231
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    • 1997
  • Microscopic examination for the morphological estimation of wear debris on the oil-lubrcated moving system is an accepted method for machine condition and fault diagnosis. However wear particle anaysis has not been widely accepted industry because it is dependent on expert interpretation of particle morphology and relies on subjective assessment criteria. This paper was undertaken to estimate the morphology of wear debris on the oil-lubricated movig system by computer image analysis. The wear test was performed under different sliding conditions using a wear test device made in our laboratory and wear testing specimen of the pin-on-disk-type was rubbed in pararline series base oil. In order to describe characteristics of debris of various shape and size, four shape parameters (50% volumetric diameter, aspect, roundness and reflectivity) have been developed and outlined in the paper. A system using such techniques promises to obviate the need for subjective, human interpretation of particle morphology in machine condition monitoring.

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Extraction of Sizes and Velocities of Spray Droplets by Optical Imaging Method

  • Choo, Yeonjun;Kang, Boseon
    • Journal of Mechanical Science and Technology
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    • 제18권7호
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    • pp.1236-1245
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    • 2004
  • In this study, an optical imaging method was developed for the measurements of the sizes and velocities of droplets in sprays. Double-exposure single-frame spray images were captured by the imaging system. An image processing program was developed for the measurements of the sizes and positions of individual particles including separation of the overlapped particles and particle tracking and pairing at two time instants. To recognize and separate overlapping particles, the morphological method based on watershed segmentation as well as separation using the perimeter and convex hull of image was used consecutively. Better results in separation were obtained by utilization of both methods especially for the multiple or heavily-overlapped particles. The match probability method was adopted for particle tracking and pairing after identifying the positions of individual particles and it produced good matching results even for large particles like droplets in sprays. Therefore, the developed optical imaging method could provide a reliable way of analyzing the motion and size distribution of droplets produced by various sprays and atomization devices.

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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전기장으로 제어되는 ER유체의 유동특성에 관한 연구 (Study on Flow Characteristics of Electro-Rheological Fluids with Electric Field Control)

  • 윤신일;장성철;이해수
    • 한국공작기계학회논문집
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    • 제14권5호
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    • pp.49-54
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    • 2005
  • An experimental Investigation was performed to study the characteristics of Electro-Rheological fluid flow in a horizontal rectangular tube with or without D.C electric field control. First, the microscopic behavior of the ER suspension structure between rectangular tube brass electrodes for the stationary ER nut(i and flow of the ER fluid was investigated by flow visualization. The flow of the ER fluid between fluid rectangular tube was solved experimental using the constitutive equation for a Bingham fluid. ER fluid is made silicon oil mixed with $0.2wt\%$ starch having hydrous particles. Velocity distributions of the ER fluids were obtained by particle image velocimetry measuring those of the clusters using an image processing technique.

영상처리 기법을 이용한 입경 측정시 배경 명도가 측정 정밀도에 미치는 영향 (Determination of Background Gray-level for Accurate Measurement of Particles in using Image Processing Method)

  • 고광웅;이상용
    • 대한기계학회논문집B
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    • 제24권4호
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    • pp.599-607
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    • 2000
  • In this study, experiments have been performed to examine the effects of background gray-level on the depth-of-field and on the in-focus criteria. The normalized value of contrast(VC) and the gradient indicator(GI) were used as the in-focus criteria for the small and the large size-ranges of particles, respectively. The slightly larger number of pixels were detected with the brighter background. The maximum of the normalized value of contrast(VCmax) is decreased with the brighter background and its deviation from that with the background gray-level of 160 turned out to be about $pm$15% when the background gray-level changes from 100 to 200. However, the maximum gradient indicator(GImax) changes with the background gray-level within only $pm$5%. The depth-of-field for the VC-applicable particle-size range is largely dependent on the background gray-level. On the other hand, the depth-of-field for the GI-applicable particle-size range changes only slightly with the background gray-level. To keep the normalized standard deviation of the particle size within 0.1, the background gray-level should be set 160$pm$20 for both the VC-applicable and GI-applicable ranges which cover the particle size between $10{\mu}m$ and $300{\mu}m$.

이미지의 눈제거를 위한 심층 Resnet (Deep Residual Networks for Single Image De-snowing)

  • 만위국;이효종
    • 한국정보처리학회:학술대회논문집
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    • 한국정보처리학회 2019년도 춘계학술발표대회
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    • pp.525-528
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    • 2019
  • Atmospheric particle removal is a challenging task and attacks wide interests in computer vision filed. In this paper, we proposed a single image snow removal framework based on deep residual networks. According to the fact that there are various snow sizes in a snow image, the inception module which consists of different filter kernels was adopted to extract multiple resolution features of the input snow image. Except the traditional mean square error loss, the perceptual loss and total variation loss were employed to generate more clean images. Experimental results on synthetic and realistic snow images indicated that the proposed method achieves superior performance in respect of visual perception and objective evaluation.

전자기장을 이용한 결정립 제어 소재 공정 기술 (The Technology of Material Processing for Gram Size Control by Electromagnetic Stirring)

  • 정용식;서판기;고재홍;강충길
    • 한국소성가공학회:학술대회논문집
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    • 한국소성가공학회 2004년도 춘계학술대회 논문집
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    • pp.254-258
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    • 2004
  • Actual trends in automotive industry lead to an increase use of lightweight structures imposing the need fur high strength aluminum alloys with complex shape. In the electromagnetic stirring process, it has many merits which are the exact control ability about material processing and a good point of the protection of environment comparison with the mechanical stirring. The interface of cells consisting of primary particle formed by the electromagnetic stirring due to particle regrowth during cooling the alloy. By electromagnetic stirring process, the microstructure of material has a good point, also it can control the material processing exactly.

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