摘要
印刷电路板(PCB)表观缺陷检测是机器视觉检测领域的一个重要问题,为了有效地利用参考法对印刷电路板光电图像进行检测,需要提高图像配准精度。本文提出了一种基于随机Hough变换(RHT)和空间数据坐标变换理论相结合的配准方法,该方法在寻找配准目标和完成配准效率方面均有很大提高。利用PCB光电图像进行实验,结果表明:在提高检测精度,降低内存空间,减少计算时间等方面,该配准算法的优势明显。
To defect detection of Printed Circuit Board （PCB） is an important in the detection domain of computer vision.In order to use reference method to detect photoelectric image of printed-circuit-board,we need to improve accuracy of image registration.The new registration method based on randomized Hough theory and affine transform in the geometric transformations is proposed.The efficiency of finding and finishing image registration has been induced.After the contradistinctive experiments for the detection of photoelectric image of PCB obtained in reality,the detection method proposed in this paper has obvious advantage in the aspects of increasing detection precision,reducing memory space and time.
出处
《光电工程》
CAS
CSCD
北大核心
2013年第6期51-57,共7页
Opto-Electronic Engineering
基金
国家自然科学基金(61205004)
粤港招标关键领域重点突破项目(W0511159)
关键词
印刷电路板(PCB)
图像配准
随机圆检测
仿射变换
printed-circuit-board （PCB）
image registration
randomized Hough detection
affine transform
