线束端子压接后外观缺陷的视觉检测算法研究

Research on Visual Inspection Algorithm of Crimping Appearance Defects for Wiring Harness Terminals

针对线束端子的缺陷检测效率低、漏检率高等问题,提出一种基于机器视觉的图像检测方法:分析线束端子3个主要部位的5种典型缺陷模式,并定义了缺陷评价参数;设计了定位基准拟合算法、待检部位自适应分割算法和缺陷特征参数计算方法;给出了各类外观缺陷的判断准则。实验结果表明,检测算法适用于各单类、多类混合缺陷模式,综合漏检率和误检率较低,准确率和实时性较高,能够满足实际应用要求。

Aiming at the low efficiency and high missing rate of wiring harness terminals, an image detection method based on machine vision is proposed. The characteristic parameters of five typical defects in three main parts of wiring harness terminals are analyzed and defined. Tthe algorithms of extracting positioning datum, segmenting inspected-parts adaptively, extracting the defect features and calculating the characteristic parameters are designed respectively, and the defects criterions are given.The experimental results show that the algorithms are suitable for single defect and multi-class defects,both the miss detection rate and the false positiveness rate are low. The accuracy and real-time performance are high, and can meet the practical application requirements.