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Spatial-frequency tuning of visual contour integration

机译:视觉轮廓整合的空间频率调整

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摘要

We examine the mechanism that subserves visual contour detection and particularly its tuning for the spatial frequency of contour components. The measured the detection of contours composed of Gabor micropatterns within a held of randomly oriented distracter elements. Distracters were randomly assigned one of two spatial frequencies, and elements lying along the contour alternated between these values. We report that the degree of tolerable spatial-frequency difference between successive contour elements is inversely proportional to the orientation difference between them. Spatial-frequency tuning (half-width at half-height) for straight contours is similar to 1.3 octaves but, for contours with a 30 degrees difference between successive elements, drops to similar to 0.7 octaves. Integration of curved contours operates at a narrower bandwidth. Much orientation information in natural images arises from edges, and we propose that this narrowing of tuning is related to the reduction in interscale support that accompanies increasing edge curvature. (C) 1998 Optical Society of America. [References: 44]
机译:我们研究了可用于视觉轮廓检测的机制,尤其是对轮廓分量的空间频率进行调整的机制。测量了在随机定向的分散器元素内由Gabor微图案组成的轮廓的检测。干扰物被随机分配为两个空间频率之一,沿着轮廓的元素在这些值之间交替。我们报告,连续轮廓元素之间可容忍的空间频率差异程度与它们之间的方向差异成反比。直线轮廓的空间频率调整(半高的一半宽度)类似于1.3个八度,但对于连续元素之间相差30度的轮廓,其空度调低至0.7个八度。弯曲轮廓的集成在较窄的带宽下运行。自然图像中的许多方向信息都来自边缘,因此我们建议这种调整范围的缩小与随着边缘曲率的增加而减少尺度间支持有关。 (C)1998年美国眼镜学会。 [参考:44]

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