A 'dipper' function for texture discrimination based on orientation variance.

A 'dipper' function for texture discrimination based on orientation variance.
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DOI:
10.1167/8.11.9
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发表时间:
2008-08-22
期刊:
影响因子:
1.8
通讯作者:
Solomon JA
Solomon JA
中科院分区:
医学4区
文献类型:
--
作者:
Morgan M;Chubb C;Solomon JA

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当我们改变两个纹理中存在的基线(基座)方差时,我们测量了两个纹理之间方向方差的恰显差异(JND)(图 1)。 JND 首先随着基座方差的增加而下降,然后又上升,产生类似于之前报道的对比度、模糊和方向对比度歧视的“北斗”函数。北斗函数(促进和掩蔽)是通过噪声方差辨别机制在纯粹的统计基础上预测的。然而,对于三分之二的观察者来说,当该机制无法区分小样本方差时,北斗函数的拟合效果明显更好。我们推测,像这样的阈值非线性可以防止视觉系统在纹理表示中包含其固有噪声,并建议类似的阈值可以防止感官编码可能引入的其他伪像的可见性,例如模糊。
We measured the just-noticeable difference (JND) in orientation variance between two textures (Figure 1) as we varied the baseline (pedestal) variance present in both textures. JND’s first fell as pedestal variance increased and then rose, producing a ‘dipper’ function similar to those previously reported for contrast, blur, and orientation-contrast discriminations. A dipper function (both facilitation and masking) is predicted on purely statistical grounds by a noisy variance-discrimination mechanism. However, for two out of three observers, the dipper function was significantly better fit when the mechanism was made incapable of discriminating between small sample variances. We speculate that a threshold nonlinearity like this prevents the visual system from including its intrinsic noise in texture representations and suggest that similar thresholds prevent the visibility of other artifacts that sensory coding would otherwise introduce, such as blur.
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