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Use of spectroscopy for assessment of color discrimination in animal vision

机译:利用光谱学评估动物视觉中的颜色辨别力

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摘要

Animals use color vision for a number of tasks including food localization, object recognition, communication, and mate selection. For these and other specific behaviors involving the use of color cues, models that quantify color discriminability have been developed. These models take as input the photoreceptor spectral sensitivities of the animal and radiance spectra of the surfaces of interest. These spectra are usually acquired using spectroscopic instruments that collect point-by-point data and can easily yield signals contaminated with neighboring colors if not operated carefully. In this paper, I present an equation that relates the optical fiber diameter and numerical aperture to the measurement angle and distance needed to record uncontaminated spectra. I demonstrate its utility by testing the discriminability of two solid colors for the visual systems of a dichromatic ferret and a trichromatic frog in (1) a conspicuous scenario where the colors have little spectral overlap and (2) a perfect camouflage scenario where the spectra are identical. This equation is derived from geometrical optics and is applicable to spectroscopic measurements in all fields.
机译:动物将色觉用于许多任务,包括食物定位,物体识别,交流和配偶选择。对于涉及使用颜色提示的这些和其他特定行为,已经开发了量化颜色可辨性的模型。这些模型将动物的感光光谱灵敏度和目标表面的辐射光谱作为输入。这些光谱通常是使用光谱仪器采集的,该仪器收集逐点数据,如果不小心操作,很容易产生被相邻颜色污染的信号。在本文中,我提出了一个方程,它将光纤的直径和数值孔径与记录未污染光谱所需的测量角度和距离相关联。我通过测试两种单色对双色雪貂和三色青蛙的视觉系统的可分辨性来证明它的效用:(1)在显着的场景中颜色几乎没有光谱重叠,(2)在完美的伪装场景中光谱是相同。该方程式是从几何光学派生出来的,适用于所有领域的光谱测量。

著录项

  • 作者

    Akkaynak Yellin, Derya;

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  • 年度 2013
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  • 原文格式 PDF
  • 正文语种 en_US
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