Research on blurred image restoration algorithm based on best iteration for vision guidance vehicle

Abstract

In order to solve the problem of blurred image when the visual guidance vehicle used to locate a two-dimensional code to acquire images, a blurred image restoration algorithm based on the optimal number of iterations for visual guidance vehicles was proposed. Firstly, the process of image blurring was modeled according to the above method. The Lucy-Richardson algorithm based on the optimal number of iterations was designed and the experimental results were verified by the independently developed visual guidance vehicle. The experimental results show that the algorithm based on best iteration number of visual guidance vehicle blurred image restoration algorithm is superior to the traditional Wiener filter algorithm in suppressing noise, improving the quality of the restored image and enhancing the fastness, the best number of restores is 20 times, it improves the speed of correcting and control precision of the visual guide vehicle, the vision tracking vehicle tracking accuracy is stabilized at 3.5 mm or less.