摘要
为提高内啮合齿轮几何参数测量精度,提出了一种基于机器视觉的内啮合齿轮参数测量方法。首先,对工业相机进行标定,并对采集的图像进行滤波和二值化处理。然后,改进了传统Canny边缘检测算法的不足,提高了边缘检测的准确性。再次,采用重心法测量了齿轮中心,利用凸包法测量了齿顶圆半径,采用计算边缘图像像素坐标与齿轮中心的平均最近距离的方式算出了齿根圆直径,再对齿轮图像进行掩膜处理并以计算连通域的方式得到了齿轮的齿数,根据齿根圆、齿顶圆、模数和齿数间的关系得到齿轮的模数和分度圆直径。最后,测试所设计的视觉测量方法。实验表明,该方法能够准确测量内啮合齿轮几何参数。
To improve the measurement accuracy of geometric parameters of internal meshing gears,a machine vision based method for measuring internal meshing gear parameters is proposed.Firstly,calibrate the industrial camera and filter and binarize the collected images.Furthermore,the shortcomings of the traditional Canny edge detection algorithm were improved to enhance the accuracy of edge detection.Then,by using the center of gravity method,the gear center was measured,and the radius of the tooth was measured was measured by the convex bag method.The average closest distance of the edge image pixel coordinates and the gear center was used to calculate the diameter of the tooth round.The diaphragm treatment and calculating the connection domain obtain the number of gears to the gear,and obtain the modulus and the diameter of the division of the gear according to the relationship between the tooth round,the top of the tooth,the maximum,the number of the mold and the tooth.Finally,the designed visual measurement method was tested.The experiment showed that the method can accurately measure the geometric parameters of the internal meshing gear.
作者
尤磊
周敬勇
王少鹏
侯伦元
YOU Lei;ZHOU Jingyong;WANG Shaopeng;HOU Lunyuan(Mechanical and Electrical Engineering,Hefei Technology College,Hefei,Anhui 230011,China)
出处
《自动化应用》
2024年第6期136-139,142,共5页
Automation Application
基金
合肥职业技术学院中青年科研基金项目(2022Bzqn32)
安徽省高等学校自然科学研究重点项目(2022AH052234)。
关键词
机器视觉
齿轮测量
图像处理
系统标定
machine vision
gear measurement
image processing
system calibration
