基于局部差分算法的线束端子压接质量应用研究  

Application Research on Visual Inspection Algorithm of Wire Harness Terminal Crimp Quality Based on Local Differential Algorithm

作　　者：卓书芳[1] 黄清海[1] 郭世南 

机构地区：[1]福建信息职业技术学院智能制造学院,福建福州350003

出　　处：《工业控制计算机》2021年第2期88-90,共3页Industrial Control Computer

基　　金：福建省中青年教师科技计划项目(JZ180401)。

摘　　要：线束是电子化、智能化产业中重要的产品之一,广泛应用于汽车、工业、家电和通讯等领域。在线束端子压接完成后会出现端子头部被挤压扭曲变形,当前线束加工质量检测大多依赖人工检验,容易因为人体视觉疲劳及其他因素导致线束成品检测质量参差不齐,针对此类问题,提出了一种基于图像局部差分的端子质量检测算法,首先采用灰度模板匹配算法定位检测区域,再将标准图像和当前图像作差分,并经过形态学处理和连通区域标记算法测量出变形的位置和大小,针对环境光照变化引起的定位不准现象,采用了一种全局光照补偿的算法降低其影响。测试结果表明,该算法效率高并具有良好的稳定性,适用于端子质量检测。Wiring harness is one of the important products in electronic and intelligent industry,which is widely used in automobile,industry,home appliances and communication fields.After crimping the harness terminals,the terminal head will be squeezed and distorted,and the current wire harness processing quality mostly depends on manual inspection,which is easy to lead to uneven quality of wire harness products due to human visual fatigue and other factors.Aiming at this problem,a terminal quality detection algorithm based on local difference image is proposed in this paper.Firstly,the gray template matching algorithm is used to locate the detection area,and then the standard image is processed The position and size of the deformation are measured by morphological processing and connected region labeling algorithm.Aiming at the inaccurate positioning caused by the change of ambient illumination,a global illumination compensation algorithm is adopted to reduce the influence.

关 键 词：线束端子 压接质量 视觉检测 差分图像 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]