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基于双域特征的PCB图像拼接
引用本文:王建晖,张立. 基于双域特征的PCB图像拼接[J]. 常熟理工学院学报, 2008, 22(8)
作者姓名:王建晖  张立
作者单位:广东工业大学,自动化学院,广东,广州,510006
摘    要:在PCB贴片安装的机器视觉检测中需要通过图像匹配拼接来得到整个PCB的图像,传统的图像匹配拼接技术精度不高,而且运算量大.用双域特征法与先粗后细、粗细结合的搜索法可使得图像的频域和时域信息得以充分利用,并且在提高精度的同时减少了运算量,能满足流水线工作要求.实验结果显示了本算法的鲁棒性、快速性与良好拼接效果.

关 键 词:图像拼接  双域  图像匹配  机器视觉

Printed Circuit Board Image Mosaic Based on Two domain features
WANG Jian-hui,ZHANG Li. Printed Circuit Board Image Mosaic Based on Two domain features[J]. Journal of Changshu Institute of Technology, 2008, 22(8)
Authors:WANG Jian-hui  ZHANG Li
Abstract:In PCB SMT assembly automatic machine vision inspection,image mosaic is necessary for getting an entire PCB image.Because of ineffective precision and large calculation in this engineering image mosaic,conventional mosaic method cannot deal with it.The information of time domain and the phase domain of images have been fully used with two region feature methods and search method of coarse-fine two steps.It has reduced calculation while it has raised precision which can satisfy the working requirement of automation line.Experimental results show this approach is effective,robust and quick.
Keywords:image mosaic  two domains  image registration  machine vision
本文献已被 CNKI 维普 万方数据 等数据库收录!
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