McIlhagga W H, Mullen K T
Department of Ophthalmology, McGill Vision Research, Montreal, Canada.
Vision Res. 1996 May;36(9):1265-79. doi: 10.1016/0042-6989(95)00196-4.
In this study, we consider how colour contrast can be used to integrate form and how it interacts with luminance contrast in the task. The performance of form integration was assessed by measuring the detection of a winding "contour" of aligned gabor elements embedded in a background of randomly oriented gabors, using both luminance and isoluminant (red/green) contrast. Performance on the task improves with gabor element contrast, and identical performance for colour and luminance contour detection is achieved at high screen contrasts, showing that colour is able to support a complex form integration task. In a second experiment, we investigate whether colour and luminance contrast can be combined in contour integration by measuring the detection of a path with alternating isoluminant colour and luminance elements. We find that contour detection uses both colour and luminance information cooperatively, but performance is much poorer than would be expected from a single common contour integration process which fails to distinguish the two types of contrast. This suggests that there are specific contour integration processes for colour and luminance. In a third experiment, we measure the effects of variations in colour and luminance contrast on contour detection using elements that combine colour and luminance contrast. We find that varying the colour contrast of elements tends to worsen the detection of a luminance contour, as do luminance contrast variations for colour contour detection. These results suggest no special role for colour in integrating contours, and are discussed with regard to their ecological significance.
在本研究中,我们探讨了颜色对比度如何用于整合形状,以及它在该任务中如何与亮度对比度相互作用。通过测量嵌入在随机取向的gabors背景中的对齐gabor元素的蜿蜒“轮廓”的检测来评估形状整合的性能,使用亮度和等亮度(红/绿)对比度。随着gabor元素对比度的增加,任务表现得到改善,并且在高屏幕对比度下实现了颜色和亮度轮廓检测的相同性能,表明颜色能够支持复杂的形状整合任务。在第二个实验中,我们通过测量具有交替等亮度颜色和亮度元素的路径的检测来研究颜色和亮度对比度是否可以在轮廓整合中结合。我们发现轮廓检测协同使用颜色和亮度信息,但性能比无法区分这两种对比度的单一常见轮廓整合过程预期的要差得多。这表明存在针对颜色和亮度的特定轮廓整合过程。在第三个实验中,我们使用结合了颜色和亮度对比度的元素测量颜色和亮度对比度变化对轮廓检测 的影响。我们发现改变元素的颜色对比度往往会恶化亮度轮廓的检测,颜色轮廓检测的亮度对比度变化也是如此。这些结果表明颜色在整合轮廓方面没有特殊作用,并就其生态意义进行了讨论。