机器视觉系统关键技术分析及应用

一套完整的机器视觉系统由硬件和软件两部分组成,完善的硬件系统可以采集到高质量的原始数据进而大大减轻后续图像处理算法的复杂度。该文首先分析了光源的设计方法、镜头的设计以及相机的选择,在此基础上得到各个硬件设备对机器视觉系统的影响,以及硬件参数之间彼此的关联性是系统设计的关键所在。同时分析系统整体设计需要考虑的问题和原则,进而得到一套适应性强的机器视觉系统构建方案。

A complete machine vision system consists of two parts:hardware and software,the complete hardware system can collect high-quality raw data and greatly reduce the complexity of subsequent image processing algorithms.The article first analyzes the design method of the light source,the design of the lens and the choice of the camera,on this basis,the influence of each hardware device on the machine vision system and the correlation between hardware parameters are the key to the system design.At the same time,it analyzes the problems and principles that need to be considered in the overall design of the system,and then obtains a set of adaptable machine vision system construction schemes.