机械科学与技术2017，Vol.36Issue(8)：1149-1154,6.DOI:10.13433/j.cnki.1003-8728.2017.0801
转子铜排鱼尾槽尺寸的视觉检测评定算法
Machine Vision Measurement Algorithm for Turbo Generator's Coil Strip
摘要
Abstract
A turbo generator's coil strip slot needs to be strictly tested after its milling.While the traditional manual detection can cause missing and false detection,the correct detection rate is low.This paper presents a machine vision measurement algorithm.Firstly,by using the improved Otsu threshold segmentation method based on the Laplace transformation,the algorithm obtains the precise location of edges.Secondly,subpixel edges are obtained with the moving least square (MLS).Finally,experiments on sample coil strip slot test and verify the algorithm.The experimental results indicate that the algorithm proposed in this paper can fulfill coil strip slot online detection needs and acquire a higher accuracy of repeated measurement than the traditional methods,with the repeated measurement accuracy increasing by more than 50％.关键词
铜排鱼尾槽/机器视觉/拉普拉斯变换/移动最小二乘法/亚像素Key words
coil strip slot/machine vision/laplace transformation/moving least square(MLLS)/subpixel分类
机械制造引用本文复制引用
李尚君,吴龙,叶松涛,严思杰..转子铜排鱼尾槽尺寸的视觉检测评定算法[J].机械科学与技术,2017,36(8):1149-1154,6.基金项目
江苏省重点研发计划项目(BE2015005-1)与国家自然科学基金项目(51375196)资助 （BE2015005-1）
