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设计了一种汽车日行灯自动测试系统。该系统主要由工业计算机、高性能数字摄像机硬件平台和LabVIEW软件平台两部分构成。采用摄像机拍摄一张标准日行灯图片作为模板,对待测试的日行灯进行图像采集且与模板比较。由模板定位出测试窗口,然后对各个窗口进行RGB模型分析和HSL模型分析,从而完成对日行灯颜色和明度的检测。此外,系统可同时对多个窗口进行分析,并可实时显示测试画面和测试结果,一次测试时间不超过6 s,且准确度和重复性较好,已在实际中应用。 相似文献
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Based on the dual-wavelength high altitude detecting lidar we developed, daytime observation capability was realized in its sodium fluorescence channel by employing a Na (sodium) atomic filter and other relevant technologies. Because of the very narrow passband and very high out-of-band suppression of the Na atomic filter, the lidar echo at an 80-110 km altitude can be obtained even at noontime when background light from the sun is very strong. The capability for a 24-h continuous observation of the lidar system has been demonstrated by the preliminary observation result. This development makes the constant detection and investigation of high altitude atmosphere over the country possible. 相似文献
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Hawkley Louise C.; Preacher Kristopher J.; Cacioppo John T. 《Canadian Metallurgical Quarterly》2010,29(2):124
Objective: To assess the prospective association between daily feelings of loneliness and subsequent feelings of daytime dysfunction indicative of poor sleep quality. Design: Three consecutive end-of-day diaries were completed by a population-based sample of 215 adults (mean age = 57.5 years, SD = 4.4). Diary questions probed sleep duration, daytime dysfunction (i.e., fatigue, low energy, sleepiness), loneliness, physical symptoms, and depressed affect experienced that day. Chronic health condition data and body mass index were also obtained. Autoregressive cross-lagged panel models were used to examine the magnitude of reciprocal prospective associations between loneliness and daytime dysfunction. Main Outcome Measures: Unstandardized path coefficients adjusted for race/ethnicity, sleep duration, marital status, household income, chronic health conditions, and health symptom severity. Results: Daily variations in loneliness predicted subsequent feelings of daytime dysfunction (B = 0.16, p 相似文献
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数字摄像法测量白天大气能见度,常用的方法是双亮度差法,此方法需尽可能保证标准的观测条件,例如两组目标-背景视线方向一致,尽量选择观测反射率低得可以忽略的人工实用黑体目标物等,否则会产生较大的误差。为此设计了一种新的基于数字摄像机的白天能见度算法:拍摄包含合适的目标物和天空背景图像,通过暗原色先验估计透射率,通过调节光圈大小获得散焦图像,把S变换应用到图像处理中,计算视觉距离,可以得出大气消光系数,从而反演出大气能见度值。实验数据表明,该算法在能见度的值在4 000~8 000 m范围内最大误差小于9%,测量结果比双亮度差方法误差减小2.1%~3.4%。 相似文献
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受多种因素的影响,白天获得的红外星图像信噪比低,且背景通常是不均匀的,为红外星目标的提取造成了极大的困难。通过理论计算,实际白天拍摄的近红外星图信噪比极低,使用一般的滤波方法无法提取出恒星目标,目前常用的形态学方法对于星图像的处理也不甚理想。首先分析背景特性,采用多帧叠加的方法削弱随机噪声,增大信噪比;然后设定阈值对叠加后的星图进行背景消除,得到只含有目标及噪声的图像;最后基于图像的特性,使用改进的SUSAN算子对星图进行目标检测,进而分割出目标,实验证明,与传统方法相比,该方法可较好地分离出恒星目标。 相似文献
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