摘要
通过分析在视觉初级信息处理过程中时间、空间信息的依存关系,提出了随时间变化的方差σ^2(t)因子表示的时变通带高斯滤波函数模型,从数学上证明了时变带通高斯函数的微分正好实现了空间域中的滤波,由此分别讨论了零交叉检测滤波器和典型的on-off感受野的关系,计算了各特征频率通道的峰值频率,该值在一定程度上与以往的研究结果基本吻合。本文从数学上具体描述了视觉信息的提取过程是一个分时分频的提取过程的思想,
According to the analysis of spatial and temporal interrelations of the primary information processing in vision system, a time -varying bandpass gaussian filtering model which was characterized by the time-varying standard deviation σ2(t) was proposed.It was mathematically proved that differentiating of time-varying bandpass Gaussian function in frequency domain just implemented the V2G operation in spatial domain. In this opinion, the relations between zero-cross filtering and on-off receptive field were investigated. The peak frequency of each character frequency channel was also calculated from the model, and they were approximately in agreement with the experimental data.In this paper, the idea of visual information processing as a process dealing with time-varying serial spatial frequency channels is described mathematically. Thus, the united decnption of processing characteristics of visual system about spatial feature, spatial frequency feature, and time-varying property is preliminary made.
出处
《生物物理学报》
CAS
CSCD
北大核心
1993年第4期605-610,共6页
Acta Biophysica Sinica
基金
国家自然科学基金资助项目
关键词
初级视觉
时变通带波波
感受野
Primary information processing Time-varying bandpass filtering Receptive field Character frequency channel