一种基于视觉的测量缺陷圆的参数方法
He Zhang1,2, Li Wang1,2, Wenya Liu1,2
1Center of Ultra-Precision Optoelectronic Instrument, Harbin Institute of Technology, Harbin 150080, China.
Sensors (Basel, Switzerland)
|July 29, 2023
概括
本研究介绍了一种基于视觉的方法,用于快速检测缺陷部件中的圆. 该技术准确地适应圆参数,增强工业应用中的几何尺寸检测.
科学领域:
- 计算机视觉 计算机视觉
- 几何测量 几何测量 几何测量
- 工业检查 工业检查 工业检查
背景情况:
- 圆检测对于对象识别至关重要,特别是对有缺陷的工业部件进行几何分析.
- 现有的方法与特征缺陷作斗争,导致检测速度缓慢且不准确.
研究的目的:
- 开发一种基于视觉的快速方法,用于准确确定缺陷圆参数.
- 改进现有的圆检测技术,这些技术耗时且容易出现错误.
主要方法:
- 使用圆近似原理来修复有缺陷的圆形特征.
- 使用形态处理来识别有效的边缘点.
- 应用最小平方法来准确估计圆参数.
主要成果:
- 模拟的缺陷圆显示了不到1像素的中心合适错误和不到3像素的轴合适错误.
- 模拟倾斜角度的安装错误小于0.1°.
- 对发动机注射孔的实验验证显示尺寸偏差<0.01毫米和角度误差<0.15°.
结论:
- 提出的方法可以快速有效地获取有缺陷的圆参数.
- 证明适用于工程应用,包括纤维探头的精确测量指导.
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