细胞神经网络生物视觉信息处理模型

CELLULAR NEURAL NETWORKS AND BIOLOGICAL VISUAL INFORMATION PROCESSING MODEL

分析了连续细胞神经网络,离散细胞神经网络和时滞细胞神经网络的数学模型和在图像处理方面的特点.根据人类视觉的产生机制,提出了一种由多个细胞神经网络组成的生物视觉信息处理模型.该模型充分利用了细胞神经网络的并行处理能力,具有快速性.本工作可作为机器人仿人视觉与视觉信息处理的研究基础.

The mathematical models of continuous-time, discrete-time and time-delay Cellular Neural Networks （CNN） were investigated in the aspect of image processing. A kind of biological visual information processing model composed of several different CNNs was proposed according to the principle of human rision generation in brain. It makes full use of the parallel processing ability of CNN, therefore the model is fast in dealing with visual information. It could be the basic work in emulation human vision for Robot.