摘要
针对传统弹簧测量精度差和稳定性低的问题,提出一种基于机器视觉的弹簧尺寸与表面质量综合检测系统。采用远心镜头配合平行光源的方式获取弹簧图像,利用直方图均衡化对图像进行增强,利用形态学开运算使弹簧表面突变更加明显,以获取表面信息。推导了弹簧参数测量与计算的公式,建立了弹簧圆度与轴向直线度的测量模型,并搭建硬件系统进行测量。测量结果表明:系统测量误差在0.2-1.2μm范围内,重复测量结果保持稳定,系统的表面检测效果较优,该系统可用于柱状弹簧的综合测量。
Aiming at the problems of poor precision and low stability of traditional spring measurement ,based on machine vision, a system of measuring the spring size and surface quality is presented. Using tele-centric lens with parallel light way to obtain the spring image, histogram equalization of image enhancement ,the morphological opening of the spring surface mutation is more obvious, getting surface information. The formula for measuring and calculating the spring parameters is derived, and the measurement model of the spring roundness and the axial straightness is established. The measurement results show that the measurement error of the system is in the range of 0.2 - 1.2 μm, and the repeated measurement results are stable. The system can be used for the comprehensive measurement of cylindrical springs.
出处
《工具技术》
北大核心
2017年第12期110-114,共5页
Tool Engineering
基金
江苏省前瞻性产学研联合创新资金项目(BY2015024-01)
关键词
测量与计量
机器视觉
柱状弹簧
尺寸测量
表面缺陷
measurement
machine vision
cylindrical springs
dimensional measurement
surface defects