摘要
针对汽车线束端子及线束线材在生产过程中的压接尺寸、线序错误等典型缺陷进行研究,对于端子压接的线材尺寸缺陷,利用Blob分析识别定位检测区域并分割出铜线区域,再提取区域几何特征检测该缺陷;对于线束漏接错接等缺陷,通过NCC(归一化互相关)模板匹配识别定位须检测的区域并分割出不同颜色线束的区域,提取颜色矩特征,建立基于MLP(多层感知机)的颜色识别模型对线束颜色识别分类并检测缺陷,最后通过C#和HALCON的联合编程实现。
Studies the typical defects such as the crimping quality of the automobile wire harness terminal and the mismatch of wire harness connector in the process of manufacturing.For the defect of the single wire terminal,the Blob analysis is used to identify the region of interest area and divide the copper wire area,and then the geometrical feature is used to detect the defect.For the defects such as the mismatching of the wire harness,the NCC(Normalized Cross-Correlation)template matching is used to identify and locate the region to be detected and segment the regions of different color harnesses,then extracts the color moment features and establish the color recognition model by multilayer perceptron classifies,and finally implement the application by C#and HALCON.
作者
黄思博
蔡昭权
方晓彬
陈伽
蔡映雪
HUANG Si-bo;CAI Zhao-quan;FANG Xiao-bin;CHEN Jia;CAI Yin-gxue(Huizhou University,Huizhou 516007)
出处
《现代计算机》
2019年第19期87-92,共6页
Modern Computer
基金
广东省普通高校青年创新人才项目(No.2015KQNCX153、2017KQNCX187)
广东省教育厅重大项目(No.2017KZDXM081)
关键词
线束端子
颜色识别
模板匹配
HALCON
Wiring Harness Terminal
Color Recognition
Template Matching
HALCON
