Design of Computer Software Engineering Machine Vision Platform Based on Traditional Image Algorithms

Machine vision systems can effectively improve production efficiency and accuracy. However, existing machine vision technologies are difficult to meet standards. Therefore, this article used traditional image algorithms to design a machine vision platform for computer software engineering. Traditional image algorithms can further improve the efficiency and accuracy of machine vision by denoising and enhancing images. This article designed a computer software engineering machine vision platform based on traditional image algorithms, achieving an average efficiency of 85.6% and an average accuracy of 94.6% for machine vision. The final conclusion drawn in this article is that the application of traditional image algorithms can effectively improve the production efficiency and detection accuracy of machine vision platforms.