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| Rapid Vision Measurement of LED Die Array Based on Cross Correlation in Frequency Domain |
| LI He-xi1,HAN Xin-le1,YANG Tie-niu2 |
1.School of Computer Science, Wuyi University, Jiangmen, Guangdong 529020, China
2.School of Mechanical and Electrical Engineering, Wuyi University, Jiangmen, Guangdong 529020, China |
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Abstract A rapid template matching method based on cross correlation in frequency domain(CCFD) is presented for real-time visual measurement of light-emitting diode (LED) die. First, the gray value of LED die array image is normalized by a recursion-sum algorithm in spacial domain, and then using fast Fourier transform the CCFD is carried out between LED die array image and die template to rapidly locate all pixel coordinates of LED dies. The higher measurement efficiency can be obtained because of omitting image normalization for clear binary images of LED die array. Experimental results of complex LED die images show that the measurement efficiency is far higher than conventional normalized cross-correlation(NCC) algorithm, and is only half of consumed time to compare with the sequential similarity detection algorithm(SSDA). The proposed CCFD algorithm can be used for rapid LED die measurement in LED sorting or die-bonding system.
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Received: 24 February 2017
Published: 06 July 2018
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［1］Xue L Y, Fang J L, Huang, W et al. Research on LED die geometric parameter measurement based on shape recognition and sub-pixel detection［C］//2010 8th World Congress on Intelligent Control and Automation. Jinan, China, 2010:6 204-6 210.
［2］战荫伟, 黄治登. 基于机器视觉的贴片LED极性检测系统的设计［J］. 计算机测量与控制, 2014, 22(3):680-683
［3］Wu T, Li B, Wang L W, et al. Study on real-time correction method of die declination angles in LED sorting system［C］//2010 International Conference on Mechatronics and Automation. Xi’an, China, 2010,1 443-1 448.
［4］张海宁,张碧伟. 基于亚像素精度分割的晶粒图像识别方法［J］. 电子设计工程, 2011,19(4): 113-116.
［4］段振云,王宁,赵文辉,等. 基于高斯积分曲线拟合的亚像素边缘提取算法［J］. 计量学报, 2016,37(4): 371-374.
［5］Mori M, Kashino K. Fast template matching based on normalized cross correlation using adaptive block partitioning and initial threshold estimation［C］//2010 IEEE International Symposium on Multimedia.Taichung, China, 2010:196-203.
［6］Stefano D L, Mattoccia S, Mola M. An efficient algorithm for exhaustive template matching based on normalized cross correlation［C］//2003 12th International Conference on Image Analysis and Processing. Mantova, Italy, 2003: 322-327.
［7］Hong Z H, Zhu P Z. An Improved SSDA applied in target tracking［C］//1988 9th International Conference on Pattern Recognition. Rome, Italy, 1988: 767-769.
［8］Steger C, Ulrich M, Wiedemann C. Machine Vision Algorithms and Applications［M］. Beijing:Tsinghua University Press, 2008: 302-308.
［9］曹占伦, 吴小洪, 姜永军,等.改进匹配算法在LED 粘片设备图像识别中的应用［J］. 半导体技术, 2008, 33(3):200-203. |
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2018, Vol. 39 
