首页|基于机器视觉的斜齿轮廓参数测量方法

基于机器视觉的斜齿轮廓参数测量方法

扫码查看
针对采用机器视觉测量斜齿轮廓参数时斜齿螺旋角易造成端面图像阴影,从而导致测量精度低的问题,提出采用高分辨率双远心镜头和近距离背光光源的改进测量方案,并结合Otsu图像二值化处理方法,以获取理想的齿轮端面图像.同时,提出轮廓特征点法,获取齿轮中心与各齿牙质心相连线段与齿顶轮廓交点,以及相连线段同一方向旋转一定角度后与齿根轮廓交点,将获取的交点圆拟合实现齿轮参数测量.结果表明,所测量的绝对误差值在 0.02 mm范围内,测量结果误差小.
Measurement method of helical gear profile parameters based on machine vision
In order to solve the problem that the helical angle of the helical gear is easy to produce a shadow of the end face image when measuring the contour parameters of the helical gear by machine vision,which leads to low measurement accuracy,an improved measurement scheme using high-resolution double telecentric lens and close-range backlight source is proposed,and the Otsu image binarization processing method is combined to obtain the ideal gear end face image.At the same time,the contour feature point method is proposed to obtain the intersection point between the line segment connected to the center of mass of the gear center and the tooth tip contour,and the intersection point between the connected line segment and the tooth root contour after rotating a certain angle in the same direction,and the obtained intersection point is used to realize gear parameter measurement by circle fitting.Experimental results show that the absolute error value of the measurement is within the range of 0.02 mm,and the error of the measurement result is small.

helical gearmachine visioncontour feature point

易思敏、曾绍锋、于明源、郭浩浩

展开 >

福建理工大学 机械与汽车工程学院,福建 福州 350118

斜齿轮 机器视觉 轮廓特征点

2024

福建工程学院学报
福建工程学院

福建工程学院学报

影响因子:0.318
ISSN:1672-4348
年,卷(期):2024.22(6)