基于矢量量化及Hopfield模型的灰度级图像识别

Gray Image Recognition Based on Vector Quantization and Hopfield Network Model

提出了一种新的识别灰度级图像的方法，该方法基于矢量量化的基本思想，通过对图像的分割，将灰度级图像映射成神经元仅取少数几种状态（低态）的Ｈｏｐｆｉｅｌｄ神经网络模型。理论和模拟实验证明：这种低状态的Ｈｏｐｆｉｅｌｄ网络模型与传统灰度级图像识别模型相比，不仅神经元的数目较少，互连密度较低，而且网络具有较好的联想能力。

A new kind of graylevel image recognition method is presented. By the image segmentation based on the vector quantization, the graylevel image can be mapped into an Hopfield network, each neuron has several states. The performance of this model is compared with that of the traditionary model. It is concluded that the new one not only has a smaller number of neurons and interconnections, but also has better error correction capabilities.