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基于线扫描局部峰值分析的手机隔板砂粒检测 被引量:1

Sand residue detection for mobile phone partition based on novel line scan and local peak analysis
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摘要 手机隔板在生产过程中经常出现划痕、砂粒残留、污渍等外观质量问题,从而影响手机装配及整体质量。利用砂粒呈现为圆点状局部峰值区域,具有全向对称结构特性以及灰度高斯分布特性,提出一种新颖的旋转线性扫描算子实现残留砂粒的特征分析和检测,实验表明该方法优于传统的顶帽变换、高斯模板匹配和双环滤波方法,具有对比度变化鲁棒性,误检和漏检率低,具有良好的适应性和实用性。 In the production process of mobile phone,scratches,sand residues,stains and other quality problems often appear on the partition of the mobile phone,which affect the assembly of mobile phone and the final product quality.Sand residues appear as round local peak regions,and have omnidirectional symmetric structure characteristic and gray scale Gaussian distribution characteristics.According to these observations,a novel rotating line scan operator is proposed to achieve the feature analysis and detection of the sand residue.Experiments show that the proposed method is superior to traditional top-hat transformation,Gauss template matching and double ring filtering methods.The method is robust to contrast variation,has low false negative rate and false positive rate and presents good adaptability and practicability.
出处 《仪器仪表学报》 EI CAS CSCD 北大核心 2014年第3期642-649,共8页 Chinese Journal of Scientific Instrument
基金 湖南省科技厅计划(2012FJ3113) 湖南省教育厅青年项目(10B109) 湖南省重点学科资助项目
关键词 线扫描分析 手机隔板 残留砂粒 line scan analysis mobile phone partition sand residue
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  • 1吴上生,方飞村.机器视觉技术在手机面板质量检测中的应用[J].机械与电子,2005,23(10):51-52. 被引量:1
  • 2张岩,王宝光.手机面板表面质量在线检测系统的研究[J].传感器与微系统,2010,29(4):52-54. 被引量:7
  • 3董恒平,刘增元,易阳,薛斌.基于线阵CCD的手机屏幕瑕疵检测器的设计[J].电子测量技术,2012,35(8):90-93. 被引量:3
  • 4徐珂,朱煜.基于机器视觉的手机键盘质量检测系统[J].计算机系统应用,2009,18(4):7-10. 被引量:3
  • 5SPENCER T, PHILLIPS R, P, SHARP P, F, et al. Au- tomated detection and quantification of microaneurysms in fluorescein angiograms[J]. Graefe's Arch. Clin. Exp. Ophthalmol, 1992, 230:36-41.
  • 6SPENCER T, OLSON J, A, MCHARDY K, C, et al. An image-processing strategy for the segmentation and quantification in fluorescein angiograms of the ocular fun- dus[J]. Comput. Biomed. Res., 1996, 29:284-302.
  • 7Cree M, J, OLSON J, A, MCHARDY K, C, et al. A fully automated comparative MS digital detection sys-tern[J]. Eye, 1997, 11:622-628.
  • 8Frame A. J. , Undrill P. E. , Cree M. J. , et al. A com- parison of computer based classification methods applied to the detection of microaneurysms in ophthalmic fluores- cein angiograms[J]. Comput. Biol. Med., 1998, 28 : 225-238.
  • 9NIEMEIJER M, VAN GINNEKEN B , STAAL J, et al. Automatic detection of red lesions in digital color fundus photographs[ J]. IEEE Trans. Med. Imag. , 2005, 24 (5) :584-592.
  • 10ZHANG B, WU X,YOU J, et al. Detection of microan- eurysms using multi-scale correlation coefficients [ J ]. Pattern Recognization, 2010, 43 (6) : 2237-2248.

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