首页 | 本学科首页   官方微博 | 高级检索  
     

基于SIFT匹配算法的PCB板缺陷检测
引用本文:张永宏,黄晓华.基于SIFT匹配算法的PCB板缺陷检测[J].计算机测量与控制,2012,20(9):2328-2330.
作者姓名:张永宏  黄晓华
作者单位:南京信息工程大学信息与控制学院,南京,210044
基金项目:国家自然科学基金项目(61071175);河南省自然科学基金项目(122300410049)
摘    要:图像匹配是PCB板缺陷检测中的一个重要环节,匹配效果的好坏直接影响着系统的检测结果和检测精度;为了取得良好的匹配效果和降低对系统硬件的精度要求,文章采用了SIFT匹配算法来进行图像匹配;首先应用SIFT算法获取匹配结果,然后计算出精确变换矩阵进行像素异或运算,最后运用数学形态学的方法消除边缘噪声;实验结果表明SIFT算法能够对存在畸变的图像取得良好的匹配效果,准确检测出缺陷.

关 键 词:SIFT  图像匹配  缺陷检测  PCB

Detection of PCB Defect Based on SIFT Matching Algorithm
Zhang Yonghong , Huang Xiaohua.Detection of PCB Defect Based on SIFT Matching Algorithm[J].Computer Measurement & Control,2012,20(9):2328-2330.
Authors:Zhang Yonghong  Huang Xiaohua
Affiliation:(College of Information & Control Engineering,Nanjing University of Information Science & Technology, Nanjing 210044,China)
Abstract:Image matching is an important step in detection of PCB defects,the matching result affect the system’s test results and test accuracy directly.To achieve good matching results and reduce the accuracy requirements of the system hardware,used SIFT matching algorithm to do image matching.First applied SIFT algorithm to get matching result,then calculated the exact transformation matrix to do XOR operation of pixels,and finally used mathematical morphological to eliminate marginal noise.Experiment shows that SIFT algorithm can obtain a good matching result for the distorted image,and detect defect accurately.
Keywords:SIFT  image matching  defect detection  PCB
本文献已被 CNKI 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号