期刊文献+

基于边缘和颜色特征的贴装晶体管类元件检测算法 被引量:4

An inspection algorithm for surface mounted transistor components based on edge and color feature
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摘要 为了检测贴装后的晶体管类元件,提出了一种基于元件边缘与颜色特征的检测算法。首先建立了元件在三色(红、绿、蓝)结构光下的模型,分析其特征;然后提取图像的边缘,在利用线滤波器和矩形滤波器过滤掉干扰边缘后,连接候选电极边缘,并引入HSI空间的颜色特征定位电极区域,再分析电极特征并确定元件贴装类型;最后基于投影的方法对元件主体进行匹配检测。实验结果表明:本文算法可有效地检测缺件、偏移、歪斜、错件等晶体管类元件常见的元件缺陷。 To inspect the quality of the mounted transistor components, an algorithm based on edge and color feature was presented. Firstly, the model of the transistor component under three colors (red, greed, and blue) structure light source was set up and the feature was analyzed. Secondly, the edges of image were extracted and the edges of potential electrodes were connected after filtering disturbing edge lines with the linear and rectangle filtering algorithm, then, the electrodes were precisely located through color segmentation in HSI space and the electrodes were analyzed to classify the type of component correctly. Finally, the component body was inspected through the match algorithm based on the projection. The experiment results showed that the proposed method could effectively identify the defects of the transistor component, such as missing component, shift, skew, wrong components etc.
出处 《仪器仪表学报》 EI CAS CSCD 北大核心 2009年第5期1020-1025,共6页 Chinese Journal of Scientific Instrument
基金 国家杰出青年科学基金(No:50825504) 粤港关键领域重点突破招标项目(东莞专项:200816822) 广东省科技攻关重点项目(2008A010300002)资助
关键词 自动光学检测 晶体管 电极 边缘检测 颜色特征 automatic optical inspection (AOI) transistor electrode edge detection color feature
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参考文献14

  • 1KIM J H, CHO H S, KIM S. Pattern classification of solder joint images using a correlation neural network [J]. Eng. Applic. Intell, 1996,9(6):655-669.
  • 2KIM T H, CHO T H, MOON Y S, et al. Visual inspection system for the classification of solder joints[J]. Pattern Recognition, 1999,32 ( 4 ) : 565-575.
  • 3ACCIANI G, BRUNETTI G, CHIARANTONI E, et al. An automatic method to detect missing components in manufactured products[ C]. Proceedings of International Joint Conference on Neural Networks, 2005:2324-2329.
  • 4李鹏,方志良,刘福来,赵鹏,杨勇,乔辉.集成元件外观检测中管脚端点的快速定标算法[J].仪器仪表学报,2003,24(3):309-310. 被引量:1
  • 5MICHAEL E Z, STEFANOS K G, GEORGE A R. 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.
  • 6WU H H, ZHANG X M, KUANG Y C. A real-time machine vision system for solder paste inspection [ C ]. IEEE/-ASME international conference on advanced intelligent mechatronics, 2008:205-210.
  • 7鲜飞.高密度封装技术推动测试技术发展[J].电子工业专用设备,2008,37(2):32-35. 被引量:4
  • 8卢盛林,张宪民,邝泳聪.基于神经网络的PCB焊点检测方法[J].华南理工大学学报(自然科学版),2008,36(5):135-139. 被引量:20
  • 9ROBERT R E, STOUGH J P, STEPHEN M C, et al. Statistical appearance model based on intensity quantile histograms[ C ]. IEEE International Symposium on Biomedical Imaging: From Nano to Micro Proceedings, 2006:422-425.
  • 10SHENG L L, ZHANG X M. Optimized design of an AOI illuminator [ C ]. Proceeding of 2007 Wavelet Analysis and Pattern, 2007,27 (7) : 87.

二级参考文献24

  • 1卢清华,张宪民.基于梯度的多图像小波变换运动测量[J].华南理工大学学报(自然科学版),2007,35(1):39-43. 被引量:4
  • 2鲜飞.SMT测试技术综述[J].电子测试,2007,18(2):45-48. 被引量:5
  • 3李瑜.X-ray检测的原理与应用【A].第5届全国SMT/SMD学术研讨会论文集[C].武汉:中国电子学会,1999.548-553.
  • 4Fuh Chioushann,Image Vision Computing J,1998年,16卷,9-10期,677页
  • 5Jia Xiaoguang,IEEE Trans Pattern Anal Machine Intell,1995年,17卷,12期,1167页
  • 6夏建亭.在线测试面临的挑战[J].表面贴装技术,2000,6:21-21.
  • 7Reza Gbaffarian. BGAs for High Reliability Applications [J]. Electronic Packaging & Production, 1998(8): 26-32.
  • 8Ayoub George. Real-time SPC with AOI [ J ]. SMT Surface Mount Technology Magazine,2001,15 (6) :90-92.
  • 9Norris Mark J. Vectoral imaging : the new direction in automatic optical inspection [ EB/OL ]. http://www, vitechnology, com/img/data/Vectoral_Imaging. PDF.
  • 10Kim J H,Cho H S, Kim S. Pattern classification of solder joint images using a correlation neural network [ J]. Engineering Applications of Artificial Intelligence, 1996, 9 (6) :655-669.

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