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阻容类表面贴装元件的炉前检测算法 被引量:1

A Before-flow Inspection Algorithm for Surface Mounted Resistance and Capacitance Components
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摘要 针对阻容类元件在结构光下的特征,提出了一种炉前检测算法.利用设计的一种差分算子,提取元件的差分,对差分值作积分投影,然后定位元件位置并提取元件几何特征;引入元件的颜色特征,实现了对阻容类元件缺件、偏移、歪斜和错件等缺陷的检测.实验结果表明:算法能满足检测系统准确性和实时性的要求. Based on features of the resistance and capacitance components under the structure light source, a before-flow inspection algorithm was presented. Firstly, the horizontal and vertical differences were extracted with the difference operator, and then the differences were projected. Based on the integral projection of the differences, the components were located and the geometry features were extracted. Finally, the color features in the body were extracted and the defects such as missing components, shifts, skews and wrong components were identified effectively. Experiment results have verified the validity of this algorithm in terms of accuracy and speed.
出处 《测试技术学报》 2011年第5期427-433,共7页 Journal of Test and Measurement Technology
基金 国家杰出青年科学基金(50825504) 国家自然科学基金-广东省联合基金(U0934004)
关键词 自动光学检测 贴装元件 特征提取 积分投影 automatic optical inspection (AOI) mounted components feature extraction integral projection
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  • 1李志敏,林越伟,黄俊,张凤阳,万睿,张晶,黄凡.PCB走线检测的预处理算法[J].光学精密工程,2007,15(2):272-276. 被引量:13
  • 2任彬,汪炳权,罗斌.基于直方图指数平滑的阈值和峰点自动检测方法[J].中国图象图形学报(A辑),1997,2(4):230-233. 被引量:34
  • 3吴章江 金剑.汽车车牌号码的快速搜索定位算法.第八届全国图象图形学术会议论文集[M].,1996.99-102.
  • 4Michael Z E, Stefanos G K, George R A. A Bayesian framework for multilead SMD post-placement quality inspection [C]. IEEE Transactions on Systems, Man, and Cybernetics-Part B : Cybernetics, 2004, 34 (1) : 440-453.
  • 5Yun T S, Kim J S, Kim H J. Support vector machine-based inspection of solder joints using circular illumination[J]. Electronics Letters, 2000, 36(11): 949-951.
  • 6Acciani G, Brunetti G. Application of neural networks in optical inspection and classification of solder joints in surface mount technology[C]. IEEE Transactions on Industrial Informatics, 2006, 12(3): 200-209.
  • 7Tremeau A, Bore N. A region growing and merging algorithm to color segmentation[J]. Pattern Recognition, 1997, 30 (7): 1191-1203.
  • 8Power W, Clist R. Comparison of supervised learning techniques applied to color segmentation of fruit image [C]. Proceeding of SHE, Intelligent Roberts and Computer Vision. XV: Algorithms, Techniques, Active Vision, and Material Handing. Boston, MA, USA, 1996: 370-381.
  • 9Cheng H D, Li J. Fuzzy homogeneity and scale-space approach to color image segmentation[J]. Pattern Recognition, 2003, 36(7): 1545-1562.
  • 10Pawlak Z. Rough Set Theory and its application to data analysis[J]. Cybernetics and Systems (S0196-9722), 1998, 29(9):661-688.

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