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一种电子元器件组装结果检测方法
引用本文:姜建国,王国林,孟宏伟,李昉,曾奕. 一种电子元器件组装结果检测方法[J]. 西安电子科技大学学报(自然科学版), 2014, 41(3): 110-115+173. DOI: 10.3969/j.issn.1001-2400.2014.03.016
作者姓名:姜建国  王国林  孟宏伟  李昉  曾奕
作者单位:(1. 西安电子科技大学 计算机学院,陕西 西安710071;2. 中国人民解放军63726部队,宁夏 银川750001;3. 空军工程大学 空管领航学院,陕西 西安710051;4. 中国人民解放军94170部队,陕西 西安710082)
基金项目:国家部委基础科研计划资助项目(A1120110007)
摘    要:为了更快更准确地检测印刷电路板(PCB)上的元器件是否存在漏焊、误焊或极性倒置等装配错误,提出了一种基于类电磁机制算法的电子元器件组装结果检测方法.该方法利用类电磁机制算法强大的搜索策略和智能的寻优机制,通过随机均匀抽取目标区域坐标点产生初始种群;以改进的归一化相关函数作为目标函数,把图像的匹配同名点看作带电粒子,通过粒子的移动与更新搜索图像的最佳匹配点;引入非均匀变异算子对移动粒子操作进行了改进;给出了该方法的实现步骤和基本流程.实验结果表明,新的检测方法具有更快的收敛速度和更高的识别率,适用于PCB板的检测.

关 键 词:电子元器件  组装结果检测  类电磁机制算法  模板匹配  归一化相关函数  
收稿时间:2013-01-28

Detection method for assembling results of electronic components
JIANG Jianguo,WANG Guolin,MENG Hongwei,LI Fang,ZENG Yi. Detection method for assembling results of electronic components[J]. Journal of Xidian University, 2014, 41(3): 110-115+173. DOI: 10.3969/j.issn.1001-2400.2014.03.016
Authors:JIANG Jianguo  WANG Guolin  MENG Hongwei  LI Fang  ZENG Yi
Affiliation:(1. School of Computer Science and Technology, Xidian Univ., Xi'an  710071, China;2. No.63726 Unit of PLA, Yinchuan  750001, China;3. Air Control & Navigation College, Air Force Engineering University, Xi'an  710051, China;4. No.94170 Unit of PLA, Xi'an  710082, China)
Abstract:In order to detect the common problems on PCB faster and more accurately, such as leakage welding, false welding or polarity inversion, a new detection method for assembling results of electronic components is proposed, which makes full use of the powerful search strategy and intelligent optimization mechanism of the EM algorithm. In the new algorithm, the initial population is generated by extracting the coordinate points from the feasible domain randomly and uniformly. The improved normalized correlation function is taken as the objective function. The images' matching points with the same name are regarded as charged particles. And the best image matching point is searched by moving and updating particles. Moreover, a non-uniform mutation operator is introduced to improve the operation of moving particles. Finally the implementation steps and basic process of the new method are designed. Experimental results show that the new method has a faster convergence speed and a higher recognition rate, and is suitable for the detection of PCB.
Keywords:electronic components   assembling results detection   electromagnetism-like mechanism algorithm   template matching   normalized correlation function  
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