基于双眼成像的几何特征,用于丝残留检测
Ke Le1,2, Yanhong Yuan1,2,3
1School of Mechanical Engineering, Zhejiang Sci-Tech University, Hangzhou 310018, China.
Sensors (Basel, Switzerland)
|January 25, 2025
概括
这项研究引入了一种新的双眼成像方法,用于在织生产中自动检测线边缘. 该技术准确地测量了剩余的线,改善了现代制造需求的实时数据.
科学领域:
- 织制造业 织制造业 织制造业 织制造业 织制造业
- 计算机视觉 计算机视觉
- 计量学 计量学是一门学科.
背景情况:
- 传统的线边缘检查依赖于手动视觉检查,缺乏现代织生产的实时数据和精度.
- 织工厂面临的挑战,包括环境条件和线线条的几何形状,阻碍了传统的视觉检查方法.
- 现有的单眼视觉系统由于定位限制而难以获得深度信息和准确性.
研究的目的:
- 开发一种使用双眼成像检测边缘的自动化,精确的方法.
- 为了克服手工检查和单眼视觉系统在织制造业的局限性.
- 为了能够准确地测量剩余的线,以改善生产计划和质量控制.
主要方法:
- 一种双眼成像方法,提取轮和心点距离,以识别线线圈轮.
- 几何分析涉及触线和角切线来计算线半径.
- 基于圆柱形特征的成像模型的开发,以解决自我封闭和纹理匹配问题.
主要成果:
- 拟议的方法准确地识别了线线圈的轮,并使用几何性质计算半径.
- 一个成像模型有效地处理双眼测量中的自我遮蔽和重复性纹理.
- 实验结果显示高精度,在推的工作距离内平均误差为0.68毫米.
结论:
- 开发的双眼视觉方法为线边缘检测提供了精确和自动化的解决方案.
- 这种方法增强了实时数据采集,这对于现代织生产安排至关重要.
- 该技术有效地克服了线线圈几何形状和车间环境所带来的挑战.
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