中国机械工程2017，Vol.28Issue(6)：695-701,7.DOI:10.3969/j.issn.1004-132X.2017.06.010
基于梯度方向信息熵的印刷电路板缺陷检测
Defect Detection for PCBs Based on Gradient Direction Information Entropy
李云峰 1李晟阳2
作者信息
- 1. 河南科技大学机电工程学院,洛阳,471003
- 2. 机械装备先进制造河南省协同创新中心,洛阳,471003
- 折叠
摘要
Abstract
Aiming at real-time visual inspections of PCB defects,a defect detection algorithm was proposed herein for applying to PCB color image.The typical image features were obtained by analy-zing the gradient direction information of the edge pixels in the defect regions.The algorithm consisted of three parts in detail,which were de-noising,target segmentation and feature extraction.Firstly, bilateral filtering in CIE Lab color space was used to reduce the interference of ambient light and en-sure the clarity of the edge details;then the uniformity of this color space was used to segment the target areas which needed to be detected;lastly,the neighborhood gradient orientation information entropy was designed as a descriptor for defect feature extraction and feature vector construction,then support vector machine was used to identify defects.Experimental results show that:the new algo-rithm is able to locate the common defects existing in PCBs rapidly and accurately such as short cir-cuit,open circuit,empty cavity,copper residue,scratch etc.which may meet the real-time detection requirements in production processes.关键词
印刷电路板/缺陷检测/双边滤波/特征提取/信息熵Key words
printed circuit board(PCB)/defect detection/bilateral filtering/feature extraction/information entropy分类
信息技术与安全科学引用本文复制引用
李云峰,李晟阳..基于梯度方向信息熵的印刷电路板缺陷检测[J].中国机械工程,2017,28(6):695-701,7.
