机电工程技术2024，Vol.53Issue(8)：183-185,214,4.DOI:10.3969/j.issn.1009-9492.2024.08.039
基于机器视觉的异形零件尺寸精密测量方法
Precision Measurement of Special-shaped Parts Based on Machine Vision
摘要
Abstract
To address the challenges of low precision,high cost,and difficulties in on-line measurement encountered in dimension measurement of special-shaped parts,a scheme of precise dimension measurement of special-shaped parts based on Halcon is proposed,including two parts of hardware and software algorithm.The hardware part mainly selects the industrial camera,industrial lens and light source,and designs the measuring device.In the software algorithm part,the Halcon is utilized for camera calibration to obtain its internal and external parameters.Subsequently,the parts region is obtained through gray processing,threshold segmentation,and other operators.Then,the parameters such as tooth height,outer groove width,outer groove angle,circular hole angle,outer groove depth and tooth number of the special-shaped parts are measured by the methods.This involves selecting the region features,fitting the maximum inner circle and minimum outer circle using least square algorithm,calculating the distance between two lines,determining the angle between two lines,calculating the number of regions and so on.Finally,by comparing the measurement results with high-precision coordinate measuring machines,it is shown that the accuracy in measuring tooth height,outer groove width and outer groove depth for special-shaped parts by our proposed method reaches 0.04 mm while measuring outer groove angle and circular hole angle achieve an accuracy up to 0.03°.关键词
机器视觉/视觉测量/异形零件/HalconKey words
machine vision/visual measurement/special-shaped parts/Halcon分类
矿业与冶金引用本文复制引用
林辉,刘栩宇..基于机器视觉的异形零件尺寸精密测量方法[J].机电工程技术,2024,53(8):183-185,214,4.基金项目
2020年广东省自然科学基金面上项目(2020A1515011504) （2020A1515011504）
2022年韶关市社会发展科技协同创新体系建设项目(220607094530422) （220607094530422）
2022年广东省教育厅普通高校重点领域专项(2022ZDZX3026) （2022ZDZX3026）
