自动切割机圆锯片刀具磨损检测算法

齐继阳; 王凌云; 吴倩; 李金燕

doi:10.3788/OPE.20152313.0614

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自动切割机圆锯片刀具磨损检测算法

更新时间：2020-08-13

- 自动切割机圆锯片刀具磨损检测算法
- Measuring algorithm for tool wear of circular saw blade in automatic cutting machine
- 光学精密工程 2015年23卷第10z期页码：613-621
- 作者机构：
  
  江苏科技大学机械工程学院,江苏镇江,212003
- 作者简介：
- 基金信息：
  
  江苏省产学研前瞻性联合研究资助项目(No:BY2013066-02)()
- DOI：10.3788/OPE.20152313.0614
  中图分类号： TP242.6
- 收稿日期：2015-05-28，
  
  修回日期：2015-06-10，
  
  纸质出版日期：2015-11-14
- 稿件说明：
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齐继阳, 王凌云, 吴倩等. 自动切割机圆锯片刀具磨损检测算法[J]. 光学精密工程, 2015,23(10z): 613-621

QI Ji-yang, Wang Ling-yun, WU Qian etc. Measuring algorithm for tool wear of circular saw blade in automatic cutting machine[J]. Editorial Office of Optics and Precision Engineering, 2015,23(10z): 613-621
齐继阳, 王凌云, 吴倩等. 自动切割机圆锯片刀具磨损检测算法[J]. 光学精密工程, 2015,23(10z): 613-621 DOI： 10.3788/OPE.20152313.0614.

QI Ji-yang, Wang Ling-yun, WU Qian etc. Measuring algorithm for tool wear of circular saw blade in automatic cutting machine[J]. Editorial Office of Optics and Precision Engineering, 2015,23(10z): 613-621 DOI： 10.3788/OPE.20152313.0614.

摘要

为实现玻镁板自动切割机圆锯片磨损量在线检测

设计了基于计算机器视觉的圆锯片磨损检测算法。首先基于自适应阈值

运用8邻域灰度相似度筛选算法找出圆锯片的候选角点;针对候选角点

判断其是否为邻域内唯一角点或其角点响应函数值最大

剔除掉伪角点。然后

判断角点是否为曲线上极大值点来剔除齿根点

从而确定圆锯片刀尖点的整像素坐标。最后

利用三次曲面拟合法对刀尖点进行亚像素定位

使用最小二乘法求解刀尖点所在圆的半径值

通过相机标定关系得出圆锯片的实际磨损量。通过实验比较了用经典Harris算法

改进Harris算法和本文提出的算法检测圆锯片磨损量的结果。结果表明:在两种圆锯片磨损量检测中

本中提出算法的检测时间仅为经典Harris算法的29.9%和29.7%

为改进Harris算法的145.7%和126.5%;对两种圆锯片刀尖点检测时

改进Harris算法的正确率为100%

50%

经典Harris算法的正确率为71.4%

37.5%

本文提出算法的正确率为100%

100%。因此

本文提出的算法在圆锯片磨损检测中具有明显的优势

是一种有效的圆锯片磨损检测方法。

Abstract

To measure the wear of circular saw blade of an automatic magnesium oxide board cutting machine on line

this paper designs a circular saw blade wear measuring algorithm based on machine vision. Firstly

the possible corners of circular saw blade are found using 8 neighborhood gray similarity sifting algorithm based on an adaptive threshold. Then

some pseudo corners which are not the only one or its corner response function values are not the largest among the neighborhoods are removed. The tip points of circular saw blade are determined among the corners according to whether their value is the maximum

and the sub-pixel coordinates of tip points of circular saw blade are calculated using cubic surface fitting. The radius of the circular saw blade is calculated with least square method. Then

through the known relationship between camera coordinate and world coordinate

the actually wear value of circular saw blade is obtained. At last

tool wears for two kinds of circular saw blades are calculated using the classical Harris algorithm

improved Harris algorithm and the proposed algorithm in the paper respectively. The results show that the detection time of the algorithm proposed is only 29.9% and 29.7% that of classic Harris algorithm respectively

and 145.7% and 126.5% of that of improved Harris algorithm respectively. The correct ratios of classic Harris algorithm are 100% and 50% respectively

and those for improved Harris algorithm are 71.4% and 37.5%

for proposed algorithm are 100% and 100% respectively. Therefore

the algorithm proposed in the paper is much better than other two algorithms and it is an effective and efficient method for measuring the tool wear.

关键词

Keywords

references

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