无标记线激光扫描轮廓表面的数据处理与重构
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摘要
针对表面粗糙的金属铸件自动识别打磨问题,本文采用基恩士的LJ-V7300线激光无标记扫描器,采集工件特定区域的轮廓表面图像数据,分析了图像数据中无效数据的产生原因,建立了剔除无效数据和增强被打磨区边界识别能力的算法,并对已去除无效数据的区域选择,建立了重构该区域三维几何轮廓面算法,并在Matlab平台下构建了工件真实有效的打磨区域,为线激光扫描测量和重构轮廓表面提供了一种应用方法。该研究对工业机器人铸件的自动打磨与分析应用具有重要意义。
Automatic identification of grinding problems for metal castings with rough surfaces,in this paper,Kean′s LJ-V7300 sheet laser scanner is used to collect the surface image data of the specific contour area of the workpieces.This paper gave anexplanationto the cause containing failed data in the data set from scanner,and then builtthe algorithms to transferfailed data to usable ones and to enhance the ability distinguishing the boundary of the specific contour area.Finally,the image data was chosen with the box-selection method,and reconstructed them into geometric contour surface with the relevant Matlab functions,and a real and effective grinding area was built on the Matlab platform.The result of this paper presents a basic method of measuring and rebuilding a surface.The experimental project in this paper is mainly used for automatic grinding analysis and application research of castings based on industrial robots,which is of great significance.
Automatic identification of grinding problems for metal castings with rough surfaces,in this paper,Kean′s LJ-V7300 sheet laser scanner is used to collect the surface image data of the specific contour area of the workpieces.This paper gave anexplanationto the cause containing failed data in the data set from scanner,and then builtthe algorithms to transferfailed data to usable ones and to enhance the ability distinguishing the boundary of the specific contour area.Finally,the image data was chosen with the box-selection method,and reconstructed them into geometric contour surface with the relevant Matlab functions,and a real and effective grinding area was built on the Matlab platform.The result of this paper presents a basic method of measuring and rebuilding a surface.The experimental project in this paper is mainly used for automatic grinding analysis and application research of castings based on industrial robots,which is of great significance.
引文
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[2]毛方儒,王磊.三维激光扫描测量技术[J].宇航计测技术,2005,25(2):1-6.
[3]桑新柱,昌乃光.三维形状测量方法及发展趋势[J].北京信息科技大学学报:自然科学版,2001,16(2):32-38.
[4]郑伟,王海英,张礼勇,等.三维表面轮廓的测量技术[J].东北林业大学学报,2003,31(5):52-53.
[5]李清泉.三维空间数据的实时获取、建模、与可视化[M].武汉:武汉大学出版社,2003.
[6]胡国飞.三维数字表面去噪光顺技术研究[D].浙江:浙江大学,2005.
[7]杨明珠,董燕.三维激光扫描点云数据处理及建模研究[J].价值工程,2017(12):117-119.
[8]Kjellander JAP.Smoothing of cubic Paramatric Splines[J].Computer Aided Design,1983,15(3):175-179.
[9]王斌,江雪.逆向工程曲线点云数据的光顺处理[J].机械工程与自动化,2017(6):67-68.
[10]郑德华,沈云中,刘春.三维激光扫描仪及其测量误差影响因素分析[J].测绘工程,2005,14(2):32-34.
[11]解则晓,张宏君.影响激光三角测量精度的因素及其补偿措施[J].现代测量与实验室管理,1999(1):23-26.
[12]邓薇.MATLAB函数速查宝典[M].北京:人民邮电出版社,2012.
[13]史峰,邓森,陈冰,等.MATLAB函数速查手册[M].北京:中国铁道出版社,2011.
[14]Moler C B.MATLAB数值计算[M].2013修订版.张志涌等,译.北京:北京航空航天大学出版社,2015.
[15]Hahn B,Valentine D T.Essential Matlab for Engineers and Scientists[M].4th Edition.Manhattan,NewYork:Academic Press,2013.
[16]Chapman S J.MATLAB Programming for Engineers[M].2nd Edition.邢树军,郑碧波译.北京:科学出版社,2016.
[17]Attaway S.Matlab:A Practical Introduction to Programming and Problem Solving[M].2nd Edition.Oxford:ButterworthHeinemann,2011.
[18]丁红军,邢克礼.基于MATLAB的低密度基因芯片图像预处理[J].生物医学工程与临床,2006(S1):44.
[19]刘焕进,龚莹岚.MATLAB N个实用技巧[M].北京:北京航空航天大学出版社,2011.