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Signaloise ratio at the visual recognition threshold of incomplete figures

机译:信噪比达到不完整数字的视觉识别阈值

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摘要

We measured recognition thresholds of incomplete figure perception (the Gollin test). This test we regarded as a visual masking problem. Digital image processing permits us to measure the spatial properties and spatial frequency spectrum of the absent part of the image as the mask. Using a noise paradigm, we have measured the signaloise ratio for Incomplete Figure. Recognition was worse with better spectral "similarity" between the figure and the "invisible" mask. At threshold, the spectrum of the fragmented image was equally similar to that of the "invisible" mask and complete image. We think the recognition thresholds for Gollin stimuli reflect the signaloise ratio.
机译:我们测量了不完整的图形感知的识别阈值(哥林测验)。我们将此测试视为视觉掩盖问题。数字图像处理使我们能够测量图像的缺失部分作为遮罩的空间特性和空间频谱。使用噪声范例,我们测量了“不完整图形”的信噪比。在图形与“不可见”蒙版之间具有更好的光谱“相似性”时,识别效果更差。达到阈值时,碎片图像的光谱与“不可见”蒙版和完整图像的光谱相同。我们认为Gollin刺激的识别阈值反映了信噪比。

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