Spatial variability as a limiting factor in texture-discrimination tasks: implications for performance asymmetries.
Spatial variability as a limiting factor in texture-discrimination tasks: implications for performance asymmetries.
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空间变异性作为纹理辨别任务的限制因素：对性能不对称的影响。
DOI：
10.1364/josaa.7.001632
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发表时间：
1990
期刊：
影响因子：
--
通讯作者：
D. Sagi
中科院分区：
文献类型：
--
作者：
Barton S. Rubenstein;D. Sagi
纹理识别任务揭示了一个明显的性能不对称性，这取决于纹理代表的前景区域（小面积），代表地面（大面积）。这种不对称性意味着在分割过程中涉及一些全局过程。我们在纹理分割算法的背景下研究了这个问题，假设有两个过滤阶段。第一级使用空间频率和方向选择（Gabor）滤波器，而第二级是由低分辨率边缘检测滤波器。纹理边界的存在和位置由第二阶段中的显著响应指示。伪纹理边界可能会出现由于纹理的局部变化（如方向随机化），这是增强的第一阶段。我们认为，这些虚假的边界作为背景噪声，从而限制了纹理识别任务的性能。噪波级别取决于显示器中哪个纹理占据地面。我们在许多对纹理上测试了这个模型，发现与人类表现的相关性非常好。该模型的预测，即歧视不对称性将减少纹理元素具有相同的方向，进行了心理测试和证实。
Texture-discrimination tasks reveal a pronounced performance asymmetry depending on which texture represents the foreground region (small area) and which represents the ground (large area). This asymmetry implies that some global processes are involved in the segmentation process. We examined this problem within the context of the texture-segmentation algorithm, assuming two filtering stages. The first stage uses spatial frequency and orientation-selective (Gabor) filters, whereas the second stage is formed by low-resolution edge-detection filters. The presence and location of texture borders are indicated by significant responses in the second stage. Spurious texture borders may occur owing to textural local variabilities (such as orientation randomization), which are enhanced by the first stage. We suggest that these spurious borders act as background noise and thus limit performance in texture-discrimination tasks. The noise level depends on which texture occupies the ground in the display. We tested this model on numerous pairs of textures and found remarkably good correlation with human performance. A prediction of the model, namely, that discrimination asymmetry will be reduced when textural elements have identical orientation, was tested psychophysically and confirmed.