期刊文献+

改进的渐开线齿轮检测方法的研究

Improvement Algorithm of the Gear non-Completely Detection Research
下载PDF
导出
摘要 为实现高效精确检测渐开线齿型参数,提出了一种改进的空间矩算法并进行研究。首先利用现有空间矩理论算法,推导出此方法在提取渐开线边缘存在精度不足;接着,提出利用Newton迭代法判定准则确定像素边界,利用最小二乘法对边界轮廓点进行拟合并计算齿型参数,最后搭建影像检测系统验证结果。实验结果表明:改进后的算法在齿顶圆半径、分度圆半径、齿根圆半径和孔中心位置比常规空间矩算法精度提高65.8%,满足非接触测量精度高的要求。 An improved algorithm for spatial moment was put forward and studied in order to detect the parameters of non-com⁃pletely tooth shape by efficient and accurate.At first,the existed theoretical algorithm of spatial moment was used,which was de⁃rived to have defects in involute edge.Then the criteria for Newton iteration method was put forward to determine the boundary pix⁃els.Least square method to the boundary contour point was used for fitting and calculating tooth shape parameters.Finally,the re⁃sults was verified by through a visual image detection system platform.The experimental results show that the improved algorithm precision than the conventional algorithm precision increased by 65.8%in the addendum circle radius,dividing circle radius,de⁃dendum circler adius and center of the hole,to meet the requirements of the non-contact measurement precision.
作者 高超学 苏小平 梁栋 丁力 GAO Chao-xue;SU Xiao-ping;LIANG Dong;DING Li(College of Mechanical and Electrical Engineering,Jiangsu Polytechnic College of Agriculture and Forestry,Jiangsu Ju-rong 212400,China;College of Mechanical and Power Engineering,Nanjing University of Technology,Jiangsu Nanjing 211816,China;College of Mechanical Engineering,Jiangsu University of Technology,Jiangsu Changzhou 213001,China)
出处 《机械设计与制造》 北大核心 2021年第11期301-304,共4页 Machinery Design & Manufacture
基金 江苏省基础研究计划(自然科学基金)资助项目(BK20170135)。
关键词 改进的空间矩 齿型检测 NEWTON迭代法 最小二乘法 Improved Algorithm For Spatial Moment Tooth Type Testing Newton Iterative Method Least Square Method
  • 相关文献

参考文献3

二级参考文献21

  • 1洪海涛,赵辉.图像技术用于零件尺寸测量的研究[J].仪器仪表学报,2001,22(z2):213-214. 被引量:27
  • 2苟中魁,张少军,李忠富,李庆利,金剑.一种Otsu阈值法的推广——Otsu双阈值法[J].机械,2004,31(7):12-14. 被引量:12
  • 3王延杰,宋建中.一种实时自适应图像二值化方法[J].光学精密工程,1994,2(5):17-21. 被引量:15
  • 4吴晓波,安文斗,杨钢.图像测量系统中的误差分析及提高测量精度的途径[J].光学精密工程,1997,5(1):133-144. 被引量:51
  • 5Tabatabai A J, Mitchell O R. Edge location to subpixel values in digital imagery[J]. IEEE Trans on Pattern Analysis and Machine Intelligence, 1984, 6(2): 188-201.
  • 6Lyvers E P, Mitchell O R. Subpixel measurements using a moment-based edge operator[J]. IEEE Trans on Pattern Analysis and Machine Intelligence, 1989, 11(12): 1293-1309.
  • 7Jensen K, Anastassiou D. Subpixel edge location and the interpolation of still images[J]. IEEE Trans on Image Processing, 1995, 4(3): 285-295.
  • 8Ghosal S, Mehrotra R. Orthogonal moment operators for subpixel edge detection[J]. Pattern Recognition, 1993, 26(2): 295-306.
  • 9Huertas A, Medioni G. Detection of intensity changes with subpixel accuracy using laplacian-Gaussian Masks[J]. IEEE Trans on Pattern Analysis and Machine Intelligence, 1986, 8(5): 651-664.
  • 10Lyvers E P, Mitchell O R. Precision edge contrast and orientation estimation[J]. IEEE Trans on Pattern Analysis and Machine Intelligence, 1988, 10(6): 927-937.

共引文献92

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