• Title/Summary/Keyword: LabVIEW Vision

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Real Time Image Acquisition System using a Image Intensifier and Position Error Verification (영상증배관을 이용한 실시간 영상획득시스템과 위치오차검증)

  • Lee, Dong-Hoon;Kim, Nam-Hoon;Jeong, Jong-Beom
    • Journal of rehabilitation welfare engineering & assistive technology
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    • v.11 no.4
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    • pp.331-338
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    • 2017
  • In this study, a portable x-ray generator was manufactured and a real-time image acquisition system was constructed using the image intensifier from the generated generator. We have developed a real - time position error verification system that can verify whether the artificial joint position is different from the initial image from the acquired image. The template image of the region of interest is extracted from the reference image using the pattern matching technique and compared with the image to be compared. As a result, It is shown that real - time position error verification is achieved by displaying the difference angle. This system is portable type, has a self-shielding facility, and the output of the irradiation device can be manufactured in a small size of 1kw and can be used as a portable type. In case of emergency patients in the non-destructive field for industrial use, It has proved effective for use in small areas such as feet.

Vehicle HUD's cognitive emotional evaluation - Focused on color visibility of driving information (차량용 HUD의 인지적 감성 평가 -주행정보의 색채 시인성을 중심으로-)

  • Choi, Won-Jung;Lee, Won-Jung;Lee, Seol-Hee;Park, YungKyung
    • Science of Emotion and Sensibility
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    • v.16 no.2
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    • pp.195-206
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    • 2013
  • The main causes of traffic accidents while driving a car is of the driver's visual distraction. In this study, the color sensitivity of the information projected on the windshield were evaluated for HUD (Head Up Display) system which helps the driver's eyes on the road while driving. The driving Information were projected $9^{\circ}$ downward from front sight $0^{\circ}$ under lab's fluorescent lights, LED floorlights and the TV had having 25 [lux] illumination when driving at night environment and 100,000 [lux] of daylight environment. Munsell color hue of the basic five colors (R, Y, G, B, P) and the color of traffic lights YR, W were the color of the seven characters, each character were outlined by White, Gray except for W. Total of 19 experimental stimuli was shown in the environment of day and night driving for asking visibility information of color, fatigue, preferences, and evaluate the degree of interference. The results came out that the bright Y and G color is visibility significantly for daylight. Second, with the outline of the text, the color of the outline works as a background for luminance contrast effects and affects visibility. Third, without the outline, the glass in front of the vehicle acts as the background and the luminance contrast of characters achieve greater brightness and visibility. The luminance contrast between the stimuli and background should be considered for increasing color visibility for driving information which is an important factor for HUD commercialization.

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