TEXTURE SEGREGATION AND ORIENTATION GRADIENT
TEXTURE SEGREGATION AND ORIENTATION GRADIENT
复制标题
DOI：
10.1016/0042-6989(91)90009-t
复制
发表时间：
1991-01-01
期刊：
影响因子：
1.8
通讯作者：
BERGEN, JR
中科院分区：
文献类型：
--
作者：
LANDY, MS;BERGEN, JR
快速纹理分离是使用过滤噪声纹理检查。 的刺激包括一个主要的纹理方向对一个不同的主导方向的背景区域的过滤噪声的前景区域。 作为两个区域之间的取向差（Δ-θ）、主导取向从背景旋转到前景值（Δ-x）的距离以及纹理的主导空间频率（f）的函数来测量前景区域的形状辨别。 性能随着Δ-θ的减小、Δ-x的增大和f的减小而下降。 这些效应部分地与观看距离无关，这意味着是相对或物体空间频率，而不是视网膜空间频率，决定了这项任务的性能。 我们提出了一个模型，包括调整的方向和空间频率的计算本地定向能量，其次是（纹理）边缘检测和互相关器，执行的形状歧视的通道。 该模型的Monte Carlo模拟与性能随Δ-x增加和Δ-θ减小而降低的情况雅阁。
Rapid texture segregation is examining using filtered noise textures. The stimuli consist of a foreground region of filtered noise with one dominant texture orientation against a background region with a different dominant orientation. Shape discrimination of the foreground region is measured as a function of the difference in orientation between the two regions (DELTA-theta), the distance over which the dominant orientation rotates from the background to the foreground value (DELTA-x), and the dominant spatial frequency of the textures (f). Performance declines with smaller DELTA-theta, larger DELTA-x, and lower f. These effects are partially independent of viewing distance, which implies that it is the relative or object spatial frequency, not retinal spatial frequency, which determines performance in this task. We present a model consisting of channels tuned for orientation and spatial frequency which compute local oriented energy, followed by (texture) edge detection and a cross-correlator which performs the shape discrimination. Monte Carlo simulations of this model are in accord with the degradation in performance with increased DELTA-x and decreased DELTA-theta.