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一种基于特征融合的线条结构光三维成像方法
Jingjing Lou1,2, Liangliang Sun1,3, Yunhan Li4
1Shenyang Jianzhu University, Shenyang, 110168, China.
Scientific reports
|October 10, 2025
概括
这项研究介绍了一种新的线性激光3D测量方法,使用特征融合来改善激光条纹中心提取. 该方法实现了高精度,误差低于1.07像素,提高了工业测量精度.
科学领域:
- 计算机视觉 计算机视觉
- 计量学 计量学 计量学
- 图像处理 图像处理
背景情况:
- 工业3D测量面临着激光条纹提取的挑战,原因是照明不佳,噪音和对比度低.
- 精确的激光条纹中心提取对于可靠的3D重建和维度分析至关重要.
研究的目的:
- 开发一种先进的线路激光3D测量方法,适应具有挑战性的工业成像条件.
- 通过特征融合技术提高激光条纹中心提取的精度和可靠性.
主要方法:
- 建立了一个多功能融合检测模型,以生成亮度和区域增强的功能地图.
- 波形变换融合了这些地图,随后是自适应性最大率细分.
- 一种优化的灰色引力方法和适应性邻里细分精炼了中心点的确定,用于最终提取的多项式拟合.
主要成果:
- 该方法证明了高精度,最大激光条纹提取误差低于1.07像素,噪声差异为0.3.3.
- 不同行之间的宽度误差小于0.24毫米.
- 可重复性提取的平均误差低于0.13毫米,表明性能强.
结论:
- 提出的基于功能融合的线性激光3D测量方法有效地克服了工业环境中的照明和噪音问题.
- 该技术为激光条纹中心提取提供了卓越的精度和可重复性,有利于工业测量应用.
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