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    此摘要是机器生成的。

    一个新的双波形特征交互网络 (DWFI-Net) 允许精确的对象细分用于边缘投影仪配置测量 (FPP) 中的3D测量. 这种方法有效地消除了背景和阴影,这对于现实世界的工业应用至关重要.

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    Last Updated: Jun 24, 2025

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    科学领域:

    • 计算机视觉 计算机视觉
    • 3D计量学 3D计量学
    • 图像处理 图像处理

    背景情况:

    • 现有的边缘投影仪配置测量 (FPP) 方法通常需要理想的条件或全场景重建.
    • 自动对象检测和细分对于工业环境中的对象级测量至关重要.
    • 挑战包括从复杂的背景和阴影中轻松分割对象.

    研究的目的:

    • 在FPP中开发一个对象阶段有效区域细分的自动化方法.
    • 为了在真实的工业场景中实现精确的对象级3D测量.
    • 为了有效地去除背景和影子干扰.

    主要方法:

    • 引入了一个双波形特征交互网络 (DWFI-Net).
    • 利用调制和封装相位图作为创新的输入.
    • 使用离散波段转换 (DWT) 开发了一个自适应波段特征交互 (AWFI) 模块.
    • 实现了一个边缘意识的离散等号变换 (EDCT) 模块作为使用离散等号变换 (DCT) 的解码器.

    主要成果:

    • DWFI-Net成功执行了对象相位有效区域分割.
    • 该网络有效地消除了背景和影子区域.
    • 通过定性和定量实验,证明了对现有方法的优越性.
    • 使用FPP进行对象级3D测量的验证有效性.

    结论:

    • 在FPP中,DWFI-Net为对象细分提供了一个强大的解决方案.
    • 拟议的方法提高了FPP在工业环境中的适用性.
    • 通过创新地使用双波小波特征和自适应融合,提高了测量精度.