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Modeling the Effect of Macular Pigment Enhancement on Vision in Degraded Visual Environments (DVE)

机译:在退化的视觉环境(DVE)中模拟黄斑色素增强对视觉的影响

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The macular pigment (MP) is an accumulation of lutein and zeaxanthin. carotenoids derived from dietary sources, which is primarily in the central 15° of the human visual field. MP absorbs light in the 400 to 520 nm range. Consequently the MP is a spectral filter over the photoreceptors, reducing the effects of internally scattered light and attenuating the short wavelength component of natural sunlight. The between-subject average MP optical density (OD) is about 0.2 to 0.6 log units depending on the sample population, while the range of MPOD is reportedly 0 to 1.5 log units. Some people can increase their MPOD by increasing their consumption of lutein and zeaxanthin, and this may be important for vision in DVE. Specifically, nutritional interventions and dietary supplements have produced statistically significant enhancements under laboratory conditions in visual tasks such as visibility through haze, low contrast target detection, contrast sensitivity, glare resistance and recovery, photostress recovery, dark adaptation, mesopic sensitivity, and enhanced reaction times. The question is whether these enhancements are operationally meaningful or not. The present paper begins to address the question by modeling MPOD effects on the visibility to low contrast targets seen under a range of DVE over realistic distances that incorporate atmospheric filtering. Specific model parameters include luminance, target contrast, spectral content, and distance. The model can be extended to estimate the efficacy of MPOD effects on target detection, discrimination, and standoff distances.
机译:黄斑色素(MP)是叶黄素和玉米黄质的积聚。类胡萝卜素来源于饮食,主要来自人类视野的中心15°。 MP吸收400至520 nm范围内的光。因此,MP是感光器上的光谱滤光片,可减少内部散射光的影响并减弱自然阳光的短波分量。受试者之间的平均MP光学密度(OD)大约为0.2到0.6 log单位,具体取决于样本数量,而MPOD的范围据报道为0到1.5 log单位。有些人可以通过增加叶黄素和玉米黄质的摄入量来增加MPOD,这对于DVE的视力可能很重要。具体而言,营养干预措施和膳食补充剂在实验室条件下在视觉任务上产生了统计学上的显着增强,例如通过雾度,低对比度目标检测,对比度敏感性,眩光抗性和恢复能力,光应力恢复,黑暗适应性,中观敏感性和增强的反应时间等可见性。问题是这些增强功能在操作上是否有意义。本文开始通过对MPOD对DVE范围内在结合了大气过滤的实际距离内在DVE范围内看到的低对比度目标的可见性进行建模来解决这个问题。特定的模型参数包括亮度,目标对比度,光谱含量和距离。该模型可以扩展以估计MPOD对目标检测,辨别力和对峙距离的效果。

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