Département de Psychologie, Université de Montréal, Montréal, Québec, Canada.
Behav Res Methods. 2010 Aug;42(3):671-84. doi: 10.3758/BRM.42.3.671.
Visual perception can be influenced by top-down processes related to the observer's goals and expectations, as well as by bottom-up processes related to low-level stimulus attributes, such as luminance, contrast, and spatial frequency. When using different physical stimuli across psychological conditions, one faces the problem of disentangling the contributions of low- and high-level factors. Here, we make available the SHINE (spectrum, histogram, and intensity normalization and equalization) toolbox for MATLAB, which we have found useful for controlling a number of image properties separately or simultaneously. The toolbox features functions for specifying the (rotational average of the) Fourier amplitude spectra, for normalizing and scaling mean luminance and contrast, and for exact histogram specification optimized for perceptual visual quality. SHINE can thus be employed for parametrically modifying a number of image properties or for equating them across stimuli to minimize potential low-level confounds in studies on higher level processes.
视觉感知可以受到自上而下的过程的影响，这些过程与观察者的目标和期望有关，也可以受到与低水平刺激属性（如亮度、对比度和空间频率）相关的自下而上的过程的影响。当在不同的心理条件下使用不同的物理刺激时，人们会面临分离低水平和高水平因素贡献的问题。在这里，我们提供了用于 MATLAB 的 SHINE（光谱、直方图和强度归一化和均衡）工具箱，我们发现它对于分别或同时控制许多图像属性非常有用。该工具箱具有用于指定（傅里叶幅度谱的旋转平均值）、归一化和缩放平均亮度和对比度以及用于优化感知视觉质量的精确直方图指定的功能。因此，SHINE 可用于参数化修改许多图像属性，或在刺激之间对其进行均衡化，以最小化高级过程研究中的潜在低水平混淆。
