基于改进Canny边缘检测算法的导轨滑块尺寸在线视觉测量方法的研究  

Research on On-line Visual Measurement Method of Guide Slide Size Based on Improved Canny Edge Detection Algorithm

作　　者：丁文强 蓝卉 陈欢[2] DING Wenqiang;LAN Hui;CHEN Huan

机构地区：[1]丽水市质量检验检测研究院 [2]浙江省计量科学研究院

出　　处：《计量与测试技术》2024年第4期40-41,46,共3页Metrology & Measurement Technique

基　　金：浙江省市场监督管理局科研项目(项目编号:ZC2021B105)。

摘　　要：本文提出了一种基于改进Canny边缘检测算法的导轨滑块尺寸测量方法。通过OpenCV机器视觉库,利用高斯平滑、自适应双阈值分割、霍夫变换等图像处理算法,对导轨滑块图像进行处理,实现滚动直线导轨滑块内滚道间距尺寸的在线精确测量。同时,对视觉测量法的可行性进行探讨和分析。In this paper, a method for measuring the size of guide slide block based on improved Canny edge detection algorithm is proposed.Through OpenCV machine vision library, the image processing algorithms such as Gaussian smoothing, adaptive double threshold segmentation and Hough transform are used to process the image of the guide rail, and the online accurate measurement of the raceway spacing in the sliding block of the rolling linear guide rail is realized.At the same time, the feasibility of visual measurement method is discussed and analyzed.

关 键 词：高斯平滑 自适应阈值分割 边缘检测 尺寸测量 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术] TG806[自动化与计算机技术—计算机科学与技术]