From filters to features: Scale-space analysis of edge and blur coding in human vision
From filters to features: Scale-space analysis of edge and blur coding in human vision
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DOI：
10.1167/7.13.7
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发表时间：
2007-01-01
影响因子：
1.8
通讯作者：
Hesse, Gillian S.
中科院分区：
文献类型：
--
作者：
Georgeson, Mark A.;May, Keith A.;Hesse, Gillian S.
为了使视觉成为可能，视觉神经系统必须在眼睛捕获的光模式中表现出最具信息性的特征。在这里，我们使用高斯尺度空间理论推导出一个多尺度模型的边缘分析，我们测试它在感知实验。在所有尺度下，空间滤波有两个阶段。奇对称高斯一阶导数滤波器向高斯二阶导数滤波器提供输入。至关重要的是，每一级的输出在前馈到下一级之前都经过半波整流。这就产生了选择性地响应一个边沿极性的非线性通道，同时抑制了杂散或“幻影”边沿。这两个阶段具有类似于视觉皮层中简单和复杂细胞的特性。边缘被发现作为第二阶段的输出的尺度空间响应图中的峰值。峰值响应的位置和尺度识别边缘的位置和模糊。该模型非常准确地预测了我们的结果对人类的感知边缘位置和模糊的亮度分布范围很广，包括令人惊讶的发现，模糊的边缘看起来更清晰时，他们的长度更短。该模型通过整合计算，生理和心理物理方法增强了我们对早期视觉的理解。
To make vision possible, the visual nervous system must represent the most informative features in the light pattern captured by the eye. Here we use Gaussian scale-space theory to derive a multiscale model for edge analysis and we test it in perceptual experiments. At all scales there are two stages of spatial filtering. An odd-symmetric, Gaussian first derivative filter provides the input to a Gaussian second derivative filter. Crucially, the output at each stage is half-wave rectified before feeding forward to the next. This creates nonlinear channels selectively responsive to one edge polarity while suppressing spurious or "phantom" edges. The two stages have properties analogous to simple and complex cells in the visual cortex. Edges are found as peaks in a scale-space response map that is the output of the second stage. The position and scale of the peak response identify the location and blur of the edge. The model predicts remarkably accurately our results on human perception of edge location and blur for a wide range of luminance profiles, including the surprising finding that blurred edges look sharper when their length is made shorter. The model enhances our understanding of early vision by integrating computational, physiological, and psychophysical approaches.