基于机器视觉的汽车曲面屏幕Mura缺陷检测方法  

Mura Defect Detection Method for Automotive Curved Screen Based on Machine Vision

作　　者：林海涨[1] 陈旸 LIN Hai-zhang;CHEN Yang(School of Intelligent Manufacturing,Zhangzhou Institute of Technology,Zhangzhou 363000,China)

机构地区：[1]漳州职业技术学院智能制造学院,漳州363000

出　　处：《价值工程》2024年第7期95-97,共3页Value Engineering

基　　金：福建省自然科学基金项目“高速长寿命滚珠直线导轨自适应定向润滑机理研究”(项目编号:2023J01248)。

摘　　要：随着汽车智能化程度的提升,曲面屏幕在汽车生产过程中的应用越来越广泛。曲面屏幕检测中,Mura缺陷的检测是制造过程中的一个关键问题。Mura缺陷是一种对比度低、形状不规则的显示缺陷。通过机器视觉技术获取曲面屏幕的显示图像,再根据Mura缺陷的特征采用了机器学习分类方法对Mura特征进行识别,有效地区分了不同程度,不同类型的Mura缺陷,提升了Mura缺陷的检测效率。With the improvement of automotive intelligence,the application of curved screens in the automotive production process is becoming increasingly widespread.The detection of Mura defects is a key issue in the manufacturing process of curved screen inspection.Mura defect is a display defect with low contrast and irregular shape.By using machine vision technology to obtain display images of curved screens,machine learning classification methods were used to recognize Mura features based on their characteristics,effectively distinguishing different degrees and types of Mura defects and improving the detection efficiency of Mura defects.

关 键 词：曲面屏幕 机器视觉 缺陷检测 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]