关键词: 红外图像, 目标提取, 脉冲神经网络, 图像处理, 时域编码, 累积放电神经元

Abstract: A Spiking Neural Network (SNN) for target extraction in infrared image was designed by means of a simulation of bio-inspired information processing mechanism. Firstly, the infrared image stimulus were transferred into spike trains by neurons in input layer of the spiking neural network; then, the target outline in infrared image was specially encoded by the density of spiking trains in middle layer of the spiking neuron network; at last, the outline pixels of the infrared target was determined by whether the firing density of the corresponding neuron in the networks output layer was over a threshold. The experimental results show that the designed spiking neuron network has a good performance in infrared target extraction, and is more biologically realistic than the existing methods.

Key words: infrared image, target extraction, Spiking Neural Network (SNN), image processing, temporal coding, integrate and fire neuron