一种基于骨架提取的FPC制造缺陷检测算法
A FPC Manufacturing Defect Detection Algorithm Based on Skeleton Extraction
陈宏辉 1姜研 1钟俊健 1申飘1
作者信息
- 1. 广东松山职业技术学院,广东韶关 512126
- 折叠
摘要
本文以国内某款手机FPC的金手指为研究对象,针对在制造过程中经常出现短路和开路缺陷,提出的一种基于骨架提取的缺陷检测算法.该算法以骨架提取为基础,结合骨架点的8邻域分析、区域生长法、图像差分法来实现对FPC制造缺陷中的短路、开路类型的缺陷检测,经试验该方法取得了良好的检测效果.
Abstract
This article takes the gold finger of a domestic mobile phone FPC as the research object,and proposes a defect detection algo-rithm based on skeleton extraction to address the frequent occurrence of short circuit and open circuit defects in the manufacturing process.This algorithm is based on skeleton extraction,combined with 8-neighborhood analysis of skeleton points,region growth method,and image difference method to achieve defect detection of short circuit and open circuit types in FPC manufacturing defects.Through experi-ments,this method has achieved good detection results.
关键词
FPC/区域生长法/图像差分法/缺陷检测Key words
FPC/Regional growth method/Image difference method/Defect detection引用本文复制引用
基金项目
广东松山职业技术学院校级科研项目(2022KJYB09)
出版年
2024
NETL
NSTL
万方数据