基于Blob分析的芯片管脚检测方法

A machine vision based pins inspection method

机器视觉在工业产品质量控制中的应用越来越广.针对SOP器件的引脚质量检测问题,提出了一种基于Blob分析和质心定位方法的引脚平整度及间距测量算法,首先通过图像增强及预处理,从图像中分离出引脚,然后通过Blob分析的方法进行管脚数量和位置的检测,最后通过质心梯度的方法进行引脚质量检测.该方法计算简单.是一种有效的芯片引脚实时检测方法.

Machine vision systems has been used more widely in industrial products defects inspection.We present a novel method of pins defects inspection.First,we use Blob analysis for pins detecting,then we use centroids and gradients to judge the quality of each pin,it has been proved to be a efficient way for pin quality control.