Suppr超能文献

一种用于质量引导的 2D 相位解包裹算法的健壮且简单的度量。

A Robust and Simple Measure for Quality-Guided 2D Phase Unwrapping Algorithms.

出版信息

IEEE Trans Image Process. 2016 Jun;25(6):2601-2609. doi: 10.1109/TIP.2016.2551370. Epub 2016 Apr 6.

Abstract

Quality-based 2D phase unwrapping algorithms provide one of the best tradeoffs between speed and quality of results. Their robustness depends on a quality map, which is used to build a path that visits the most reliable pixels first. Unwrapping then proceeds along this path, delaying unwrapping of noisy and inconsistent areas until the end, so that the unwrapping errors remain local. We propose a novel quality measure that is consistent, technically sound, effective, fast to compute, and immune to the presence of a carrier signal. The new measure combines the benefits of both the quality-guided and the residue-based phase unwrapping approaches. The quality map is justified from the two different theoretical points of view. Exhaustive tests on a variety of artificially generated and real 2D wrapped phase signals illustrate its potential usefulness in the field of fringe projection profilometry.

摘要

基于质量的 2D 相位解缠算法在速度和结果质量之间提供了最佳的权衡。它们的鲁棒性取决于质量图,该质量图用于构建首先访问最可靠像素的路径。然后沿着这条路径进行解缠,延迟对噪声和不一致区域的解缠,直到最后,从而使解缠误差保持局部。我们提出了一种新颖的质量度量标准,该标准具有一致性、技术合理性、有效性、快速计算和对载波信号存在的免疫性。新的度量标准结合了质量引导和基于残差的相位解缠方法的优点。质量图从两个不同的理论角度进行了证明。对各种人为生成和真实的 2D 包裹相位信号进行的详尽测试表明,它在条纹投影轮廓术领域具有潜在的用途。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验