期刊文献+

基于散斑纹理变差函数的平磨表面粗糙度测量技术 被引量:13

Grinding surface roughness measurement based on the variogram of speckle pattern texture
下载PDF
导出
摘要 粗糙表面调制激光散射从而形成散斑。从计算机纹理分析的角度出发,对平面磨削加工金属表面激光散斑图像纹理特征与表面粗糙度之间的关系进行了研究。在研究中采用激光照射平磨表面,用CCD获取散斑纹理图,再对散斑图变化窗口进行变差函数的纹理分析和归一化统计分析,分别提取散斑纹理中的平均值、方差、能量和熵4个特征,表征磨削表面粗糙度。研究和实验结果表明,对于不同大小的窗口,上述4种纹理特征与磨削表面粗糙度Ra之间均存在良好稳定的单调关系。 Surface speckle pattern is resulted from laser scattering modulated by rough surface. The relationship between speckle pattern textural features of grinding metallic surface and surface roughness is investigated in this paper based on computer texture analysis. In the research, window variogram and statistical normalization are used to analyze the speckle pattern, which is scattered from a grinding surface illuminated by a laser light and then captured by a CCD camera. Four textual features—mean value, variance, energy and entropy— are extracted and explored as the tokens of grinding surface roughness. Experiment results show that surface roughness has a stable and good monochromic relationship with all the four textual features for different sizes of window.
出处 《仪器仪表学报》 EI CAS CSCD 北大核心 2010年第10期2302-2306,共5页 Chinese Journal of Scientific Instrument
基金 国家自然科学基金(50875074)资助项目
关键词 散斑 表面粗糙度 变差函数 纹理分析 laser speckle surface roughness variogram texture analysis
  • 相关文献

参考文献15

  • 1WHITE D J.Stylus contact method for surface metrology in the ascendancy[J].Meas.Control,1998,31(2):48-50.
  • 2郑淦,苏寒松,谢亚利,刘威.频谱分析在表面粗糙度测定中的应用[J].仪器仪表学报,2002,23(z1):77-78. 被引量:1
  • 3王廷津,徐建强,史伟,马裕民.用于测量表面粗糙度的漫射反射比光纤传感器[J].仪器仪表学报,1997,18(5):505-508. 被引量:5
  • 4鲍振武,刘剑飞,霍洪涛.单模光纤探针粗糙度测量技术的研究[J].电子测量与仪器学报,1999,13(1):24-29. 被引量:2
  • 5KUMAR R,KULASHEKAR P,DHANASEKAR B.Application of digital image magnification for surface roughness evaluation using machine vision[J].Int.J.of Machine Tools and Manufacture,2005,45(2):228-234.
  • 6KIRAN M B,RAMAMOORLY B,RADHAKRISHNAN V.Evaluation of surface roughness by vision system[J].Int.J.of Machine Tools and Manufacture,1998,38(5-6):685-690.
  • 7DAINT J C.Laser speckle and related phenomena[M].New York:Springer-Verlag Berlin Heidelberg,1975:7-11.
  • 8LEONARD L C,TOAL V.Roughness measurement of metallic surfaces based on the laser speckle contrast method[J].Optics and Lasers in Engineering,1998,30(5):433-440.
  • 9SPAGNOLO G S,PAOLETTI D,PAOLETTI A.Roughness measurement by electronic speckle correlation and mechanical profilometry[J].Measurement,1997,20(4):243-249.
  • 10LU R S,TIAN G Y.Grinding surface roughness measurement based on the co-occurrence matrix of speckle pattern texture[J].Applied Optics,2006,45(35):8839-8847.

二级参考文献17

  • 1苏寒松,鲍振武.光纤F—P干涉传感器进行精密表面粗糙度测量原理探讨[J].仪器仪表学报,2001,22(z2):37-38. 被引量:2
  • 2田继成,丁志华,尹锑.测量表面粗糙度的新型光纤传感器[J].计量学报,1993,14(3):183-186. 被引量:12
  • 3鲍振武,孙俊卿.光纤探针粗糙度测量原理的探讨[J].光纤与电缆及其应用技术,1995(6):7-10. 被引量:3
  • 4A. BARALDI and F. PARMIGGIANI. An investigation of the Textural Characteristics Associated with Gray Level Cooccurence Matrix Statistical Parameters[ J]. IEEE Transactions On Geoscience and Remote Sensing, 1995, 33(2),293 - 304
  • 5IEEE Standard 610.4- 1990, IEEE Standard Glossary of Image Processing and Pattern Recognition Terminology[M]. New York :IEEE Press, 1990
  • 6P.GONG, J.D.MARCEAU, and P.J.HOWARTH. A comparison of spatial feature extraction algorithms for land - use classification with SPOTHRD data[J]. Remote Sensing Environ., 1992,40, 137- 151
  • 7R.M. HARALICK. Statistical and Structural Approaches to Texture[J]. Proceedings IEEE, 1979, 67(5):786-804
  • 8R.M. HARALICK, K. SHANMUGAM, and I. DINSTEIN. Textural Features for Image Classification[J]. IEEE Transactions on Systems, Man and Cybernetics, 1973, 3(6): 610 - 621
  • 9毛起广,表面粗糙度的评定和测量,1991年,47页
  • 10袁长良,表面粗糙度及其测量,1989年,113页

共引文献15

同被引文献131

引证文献13

二级引证文献59

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部