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金属表面特性对差动式视觉测量的影响实验 被引量:5

Experiments on Metal Surface Characteristics′ Effect on Differential Visual Measurement
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摘要 介绍了一种全面的金属表面反射模型,从理论上论证差动式视觉测量的可行性。在平行光照明下,测量不同级别粗糙度比较样块在入射面内的反射亮度,在大量数据的基础上总结分布规律,以寻求事实依据。搭建视觉测量系统,采集金属工件的明、暗域图像,并对图像差分融合,进行实验验证。结果表明,工件表面的缺陷信息得到了大幅增强,杂乱的背景信息被有效抑制。基于金属表面反射特性提出的差动式视觉测量系统,在提高图像对比度和增强边缘方面显示了其优越性。 A comprehensive metal surface reflection model is introduced to demonstrate the feasibility of the differential visual measurement theory.In order to seek the factual basis,the reflection brightness of some roughness comparison specimens is measured in the plane of incidence,and then the distribution law is summarized based on a large amount of data.A vision system is built,and the images collected from the bright and dark fields are fused by differential algorithm.Experimental results show that the target surface defects are greatly enhanced and the clutter background information is effectively suppressed.The differential visual measurement system based on the reflective properties of the metal surface shows its superiority in improving contrast and enhancing edge of images.
出处 《光学学报》 EI CAS CSCD 北大核心 2013年第1期153-158,共6页 Acta Optica Sinica
基金 天津市自然科学基金(12JCYBJC11000 11ZCGYSF01300) 高等学校博士点基金(20100032120062)资助课题
关键词 机器视觉 反射分布 平行照明 金属表面粗糙度 差动式融合 machine vision reflection distribution parallel illumination metal surface roughness differential fusion
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  • 1吴振森.任意形状粗糙物体的激光后向散射[J].电子科学学刊,1993,15(4):359-366. 被引量:16
  • 2吴振森,韩香娥,张向东,江荣熙,魏庆农,徐竹.不同表面激光双向反射分布函数的实验研究[J].光学学报,1996,16(3):262-268. 被引量:49
  • 3凌建国,刘尔琦,梁海燕,杨杰.基于核密度估计的红外目标提取方法[J].红外与毫米波学报,2006,25(6):434-438. 被引量:11
  • 4[2]Okutomi M,Kanade T,1993,A Multiple-Baseline Sereo[J].IEEE PAMI-15:353~363
  • 5[3]Pollefeys M,Koch R and Van Gool L.Self-Calibration and Metric Reconstruction in spite of Varying and Unknown Internal Camera Parameters[J].International Journal of Computer Vision,1992,32 (1):7-25
  • 6Zheng H. , Kong L. , Nahavandi S.. Automatic inspection of metallic surface defects using genetic algorithms[J]. J. Materials Processing Technol. , 2002, 125 126(sl): 427-433.
  • 7Liang R. Y. , Ding Y. Q. , Zhang X. W. et al.. Copper strip surface defects inspection based on SVM RBF[A]. Proceedings of Fourth International Conference on Natural Computation[C]. Washington, DC, USA: IEEE Computer Society, 2008. 41-45.
  • 8ZhangX. W. , LiangR. Y. , Ding Y. Q. et al.. The system of copper strips surface defects inspection based on intelligent fusion[C]. Proceedings of IEEE International Conference on Automation and Logistics Washington, DC, USA:IEEE Computer Society, 2008. 476-480.
  • 9Li T.. Applying wavelets transform, rough set theory andsupport vector machine for copper clad laminate defects classification [J]. E:rpert Systems with Application,s, 2009, 36(3P2) : 5822-5829.
  • 10Arivazhagan S. , Ganesan L.. Texture segmentation using wavelet transform [J]. Pattern Recognition Letters, 2003, 24(16) : 3197-3203.

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