首页 | 官方网站   微博 | 高级检索  
     

基于亚像素边缘检测的刀具几何参数测量
引用本文:周敬,王俊元,张彬.基于亚像素边缘检测的刀具几何参数测量[J].工具技术,2010,44(9):94-97.
作者姓名:周敬  王俊元  张彬
作者单位:中北大学 
摘    要:为了提高刀具几何参数图像测量精度,基于矩法理论,提出了一种亚像素边缘检测算法。该方法的基本思想是采用灰度空间矩,将图像边缘特征离散为亚像素级特征点,并用Matlab实现图像的处理。实验证明,基于亚像素特征点提取检测的刀具几何参数具有较高测量精度,且计算量小,具有很好的抗噪性能。

关 键 词:刀具几何参数  图像测量  亚像素  边缘检测  灰度空间矩

Measurementof Tool Geometric Parameters Based on Sub-pixel Edge Detection
Zhou Jing,Wang Junyuan,Zhang Bin.Measurementof Tool Geometric Parameters Based on Sub-pixel Edge Detection[J].Tool Engineering(The Magazine for Cutting & Measuring Engineering),2010,44(9):94-97.
Authors:Zhou Jing  Wang Junyuan  Zhang Bin
Affiliation:Zhou Jing,Postgraduate,College of Mechanical Engineering & Automatization,North University of China,Taiyuan 030051,ChinaWang Junyuan,Zhang Bin
Abstract:In order to improve the image measurement accuracy of tool geometric parameters,an algorithm with sub-pixel edge detection was presented based on the moment method theory.The basic idea of this method is that edge characteristics of image were transformed into discrete feature points with sub-pixel-level by using gray-scale spatial moment,then image processing was accomplished by Matlab.Experiments show that tool geometric parameters extracted through feature points based on sub-pixel detection have a high measuring accuracy,a small calculation amount and excellent anti-noise performance.
Keywords:tool geometric parameter  image measurement  sub-pixel  edge detection  gray-scale spatial moment
本文献已被 CNKI 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司    京ICP备09084417号-23

京公网安备 11010802026262号