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An analytical model of the influence of cone sensitivity and numerosity on the Rayleigh match

机译:圆锥灵敏度和数字对瑞利匹配影响的分析模型

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摘要

The Rayleigh match is defined by the range of mixtures of red and green lights that appear the same as an intensity-adjustable monochromatic yellow light. The perceptual match indicates that the red/green mixture and the yellow light have evoked the same respective cone absorptions in the L- and M-cone pathways. Going beyond the existing models (e.g., , ; ; ), the Poisson noise in cone absorptions is proposed to make the matching proportion of red-green mixtures span a finite range, since any mixture in that range evokes cone absorptions that do not differ from those by a yellow light by more than the variations in the absorption noise. We derive a mathematical formula linking the match midpoint or match range with the sensitivities and numerosities of the two cones. The noise-free, exact, matching point, close to the mid-point of the matching range, depends only on the L- and M-cone sensitivities to each of the red, green, and yellow lights (these sensitivities in turn depend on the preferred wavelengths (λmax) and optical densities of the cone pigments and the various pre-receptor retinal light filtering properties). Meanwhile, the matching range depends on both these cone sensitivities and the relative numerosity of the L- and M-cones. The model predicts that, in normal trichromats, all other things being equal, the match range is smallest when the ratio r between L and M cone densities is r = R−1/2 with R as the ratio between the sensitivities of the L and M cones to the yellow light, i.e., when L and M cones are similarly abundant in typical cases, and as r departs from R−1/2 the match range increases. For example, when one cone type is 10 times more numerous, the match range increases 2-3 fold, depending on the sensitivities of the cones. Testing these model predictions requires either a large data set to identify the effect of one factor (e.g., cone numerosity) while averaging out the effects of the other factors (e.g., cone sensitivities), or for all factors to be known. A corollary of this prediction is that, because they are more likely than usual to have very different L and M cone densities, the matching ranges of normal female trichromats who are carriers of dichromacy (but not anomalous trichromacy) are likely to have a larger matching range than usual, particularly for the deutan carriers. In addition, the model predicts that in strong tetrachromats (whose four dimensions of color are preserved post-receptorally), the Rayleigh matching is either impossible or the matching range is typically smaller than usual.
机译:瑞利匹配是由红光和绿光的混合范围定义的,它们的出现与强度可调的单色黄光相同。感知上的匹配表明,红色/绿色混合物和黄色光在L-和M-圆锥路径中引起了相同的锥体吸收。超越现有模型(例如;;),提出锥吸收中的泊松噪声以使红绿混合物的匹配比例跨越有限范围,因为该范围内的任何混合物所引起的锥吸收与那些由黄光引起的吸收噪声变化更大。我们导出了一个数学公式,将匹配中点或匹配范围与两个圆锥的灵敏度和数量联系在一起。无噪声,精确的匹配点,接近匹配范围的中点,仅取决于对红,绿和黄光的L和M圆锥敏感度(这些敏感度又取决于视锥色素的最佳波长(λmax)和光学密度,以及各种不同的前受体视网膜滤光特性)。同时,匹配范围取决于这些圆锥敏感度以及L和M圆锥的相对数量。该模型预测,在所有其他条件相同的情况下,在正常三色性中,当L与M视锥密度之间的比率r为r = R −1/2 且R为比率时,匹配范围最小在L和M视锥细胞对黄光的敏感度之间,即在典型情况下当L和M视锥细胞类似地丰富时,并且当r偏离R -1/2 时,匹配范围增大。例如,当一个圆锥体的类型多于10倍时,根据圆锥体的灵敏度,匹配范围将增加2-3倍。测试这些模型预测需要大数据集来确定一个因素的影响(例如,锥体数量),同时平均其他因素的影响(例如,锥体灵敏度),或者要知道所有因素。该预测的推论是,由于它们比往常更可能具有非常不同的L和M视锥密度,因此,作为双色性(但非异常三色性)携带者的正常雌性三色性的匹配范围可能具有更大的匹配性。航程比平时要大,尤其是对于deutan航母。此外,该模型预测在强四色体(其四个颜色的颜色在受体后保留)中,瑞利匹配是不可能的,或者匹配范围通常小于通常的范围。

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    Li Zhaoping; Joseph Carroll;

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  • 年(卷),期 -1(33),3
  • 年度 -1
  • 页码 A228–A237
  • 总页数 23
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