精密微小型零件自动装配系统显微机器视觉的照明自动优化

摘要

In order to always obtain the optimal images of parts in the assembly process, the problem of automatic optimization of microscopic vision illumination intensity was investigated. To realize the illumination of parts edges and surface detail, the illumination automatic control system based on coaxial and ring light source was developed. The illumination optimize performance of four types of image quality evaluation function was compared and analyzed, the image quality evaluation methods based on Roberts gradient sum function was proposed and applied in developed assembly systems. The results show that the process of illumination optimization is fast and accurate, the contrast of the target edge is significantly enhanced and the parts recognition error is eliminated after illumination optimization. Moreover, the precision automatic assembly requirements of miniature parts can be met.%为了在微小型零件装配过程中始终获得质量最佳的零件图像,对显微视觉照明光强的自动优化问题进行了研究.为实现对零件的轮廓边缘与表面细节的照明,基于同轴光源与环形光源开发了照明自动控制系统.对比分析了四种图像质量评价函数的照明优化性能,提出了基于Roberts梯度和函数的图像质量评测方法,并应用于研制的装配系统.装配实验结果表明,光强优化过程快速准确,光强优化后目标边缘的对比度显著增强,消除了零件误识别现象,满足微小型零件高精度装配自动化的要求.