基于机器视觉的铣刀磨损测量

Milling Cutter Wear Measurement Based on Machine Vision

针对铣刀磨损人工检测效率不高、稳定性差、检测成本高等缺点,本文提出了一种基于机器视觉技术的铣刀磨损量测量方法。使用工业COMS相机从铣刀端面自动化采集铣刀的图片,应用灰度化、中值滤波、自适应阈值分割等形态学处理方法预处理图像。根据铣刀特征提取其轮廓,使用基于霍夫变换的直线检测、圆检测方法筛选提取铣刀最大磨损区域,经分析,刀刃的最大磨损量为磨损区域最大内切圆直径长度。结果表明,该方法能实现对铣刀刃面磨损快速测量,测量误差较小,满足实际应用需求。

In response to the shortcomings of low efficiency,poor stability,and high detection cost in manual detection of milling cutter wear,this paper proposes a method for measuring milling cutter wear based on machine vision technology.The industrial COMS camera is used to automatically collect the image of the milling cutter from the end face of the milling cutter,and morphological processing methods such as graying,median filtering,adaptive threshold segmentation are used to preprocess the image.The contour of the milling cutter is extracted according to its characteristics,and the maximum wear area of the milling cutter is selected and extracted by using the line detection and circle detection methods based on Hough transform.Through analysis,the maximum inscribed circle diameter of the maximum wear area is the maximum wear amount of the end edge of the milling cutter.The results show that this method can achieve rapid measurement of milling cutter edge wear with small measurement errors,meeting practical application requirements.