Research on the method of super-resolution image recognition in machine vision system

In order to accurately identify super-resolution images, a neural network image recognition method based on image reconstruction is proposed. This super-resolution image recognition method uses Gamma method to remove the useless information in the super-resolution image of the machine vision system. The image is segmented according to the threshold of the super-resolution image, and the features of the super-resolution image are extracted, and the segmented image is reconstructed. Super-resolution image, using the Hopfield neural network to realize the super-resolution image recognition of machine vision system. The simulation experiment results show that the proposed method can accurately recognize the super-resolution image of the machine vision system, and the recognition efficiency is high and the speed is high.