摘要
探讨了一种基于机器视觉的PCB自动装配线多焊盘实时定位方法。采用多分辨率图像金字塔匹配策略,利用模板图像与待搜索图像的灰度特性,使用圆投影匹配进行初始候选匹配点的选取,得到一系列的候选匹配子图;使用SIFT算法对候选匹配子图和模板图像进行特征匹配,确定对应匹配点,消除误匹配的候选子图;根据点的模式匹配,确定大致的旋转角度,使用重采样和插值的方法计算精确的旋转角度。实验表明,该方法可以准确、实时地实现目标定位。
A method for detecting multi-pads in PCB assembly line based on machine vision in real-time is proposed.Multi-resolution strategy is adopted to accelerate the matching speed.Circular projection matching method is used to get the initial candidate matching sub-images based on the gray properties of the template image and the searched image.And then,the mismatch sub-images are removed through the numbers of matching points between matching sub-image and template using SIFT feature matching method.A rough rotated angle is calculated through point pattern matching and the precise angle is gained through re-sampling and interpolation method.Experimental results show the robustness and validity of the proposed method,and can track objects in real-time.
出处
《计算机工程与应用》
CSCD
北大核心
2011年第4期208-211,共4页
Computer Engineering and Applications
基金
四川省教育厅资助科研项目(No.218-06zhd001)
西南科技大学国防重点学科实验室重点培育项目(No.07JGZB10)~~
关键词
圆投影匹配
尺度不变特征变换(SIFT)
多分辨率
点模式匹配
circular projection matching
Scale Invariance Feature Transform（SIFT）
multi-resolution
point pattern matching
