关键词: 图像判别, 脉冲耦合神经网络, 交叉视觉皮层, 时间序列, 交通标志

Abstract: The time series of Pulse Coupling Neural Network (PCNN) is widely used in the image retrieval and identification, but it cannot embody the shape and characteristics of the image, which results in the failure of image evaluation. In this paper, the local time series of cross visual cortex was proposed to solve the problem. Fist, the image was divided into blocks; then, the time series of each block was extracted; last, the local time series were linked to global time series. The proposed algorithm was compared with the basic time series and the time series added with edges information. The experimental results demonstrate that the proposed method can effectively and efficiently solve the problems existing in the basic time series.

Key words: image identification, Pulse Coupled Neural Network (PCNN), intersecting cortical model, time series, traffic sign