Consistency Comparison of Machine Vision Images Based on Improved ORB Algorithm

Abstract

AbstractIn recent years, with the continuous development of society, people's exploration in the field of machine vision images has gradually increased the demand for machine vision and digital image processing. Only the consistency comparison research of machine vision images based on the improved ORB algorithm, in order to obtain more complete image information. Based on the improved ORB algorithm, this paper conducts research by improving the consistency comparison of machine vision images, and meets the requirements of accuracy and precision for the obtained machine vision images and so on. This paper briefly introduces the technology and development trend of machine vision image consistency comparison, studies the machine vision image consistency comparison, and through a series of experiments to prove that the machine vision image consistency comparison based on the improved ORB algorithm is effective in To a certain extent, it has certain feasibility in terms of precision and accuracy. Analysis and comparison based on different image stitching methods were carried out. The final results of the research show that the accuracy of the five-consistency comparison of machine vision images is 98.7% when the distance of image five is 83.4 km. Experimental data show that the accuracy of machine vision image consistency comparison has always been maintained at a stable level, that is, 97%. It shows that the accuracy of machine vision image consistency comparison does not decrease with the increase of distance.KeywordsORB algorithmMachine visionImage consistencyComparison research