LOW-LEVEL VISUAL PROCESSES IN TEXTURE SEGREGATION

不费力和即时知觉分离的实验室任务 区域之间的视觉纹理可能是一个很好的模型的一个重要阶段 在日常的视觉感知中--视觉系统中断的状态 将一个视觉场景分解成有意义的区域， 计算每个区域。 对视觉过程的理解 可以通过以下方式来控制区域之间的感知隔离 建立在过去积累的大量知识的基础上， 几十年来，相对较低水平的视觉过程。 结果 心理物理实验测量感知纹理分离（和 几个相关的感知任务）将被收集。 这些经验 结果将与基于以下内容的定量模型的预测进行比较： 关于低层次视觉过程的现有知识。 这些定量 模型将包含有关模式视觉分析器的知识（多个 选择性地对空间敏感的并行分析器 频率，方向和空间位置-生理 基底可能在视觉皮层的最低区域）， 关于在光适应下研究的明显的非线性， (and可能起源于视网膜）以及现在的一些非线性行为 这是皮质细胞的特征

The laboratory task of effortless and immediate perceptual segregation between regions of visual texture may be a good model f an important stage in everyday visual perception -- a state at which the visual system breaks a visual scene into meaningful regions before going on to do further computations on each region. An understanding of the visual processes controlling the perceived segregation among regions may be gained by building on the vast amount of knowledge that has accrued over the last several decades about relatively low-level visual processes. Results from psychophysical experiments measuring perceived texture segregation (and several related perceptual tasks) will be collected. These empirical results will be compared to predictions from quantitative models based on current knowledge about low-level visual processes. These quantitative models will incorporate knowledge about pattern-vision analyzers (multiple analyzers acting in parallel that are selectively sensitive to spatial frequency, orientation, and spatial position -- the physiological substrate for which may be in the lowest areas of visual cortex) and also about the manifest nonlinearity studied under the name light adaptation (and probably of retinal origin) as well as some nonlinear behavior now known to be characteristic of cortical cells.