Generalized Multi-Feature-Guided Progressive Fringe Order Correction for Fringe Projection Profilometry

Phase unwrapping is a critical step in fringe projection profilometry, essential for achieving accurate and efficient three-dimension (3D) imaging. Temporal phase unwrapping is the most widely utilized to improve robustness and the reconstruction quality. Unfortunately, due to abrupt phase discontinuities at boundaries, misalignment between the wrapped phases, and unreliable shadow regions, fringe order errors may occur. To address these challenges, this study presents a generalized multi-feature-guided progressive order correction algorithm (GMP-OCA) for high-quality 3D imaging. The algorithm integrates global coarse detection, incremental line-wise optimization, and regional precision scanning to progressively correct fringe orders. Static and dynamic experimental results demonstrate that GMP-OCA effectively eliminates the systematic errors inherent in various phase unwrapping methods, producing high-quality 3D imaging results.

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Publication Details

Journal
IEEE Transactions on Image Processing
Published
2025-01-01
DOI
https://doi.org/10.1109/tip.2025.3607619
Citations
3
Primary Topic
Optical measurement and interference techniques
Type
article
Field-Weighted Citation Impact
3.83
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article

Generalized Multi-Feature-Guided Progressive Fringe Order Correction for Fringe Projection Profilometry

Jiayi Qin, Yiping Cao, Yansong Jiang
3 citations
IEEE Transactions on Image Processing
Optical measurement and interference techniques
3.83
article

Generalized Multi-Feature-Guided Progressive Fringe Order Correction for Fringe Projection Profilometry

Jiayi Qin, Yiping Cao, Yansong Jiang
article en
3 citations

Abstract

Phase unwrapping is a critical step in fringe projection profilometry, essential for achieving accurate and efficient three-dimension (3D) imaging. Temporal phase unwrapping is the most widely utilized to improve robustness and the reconstruction quality. Unfortunately, due to abrupt phase discontinuities at boundaries, misalignment between the wrapped phases, and unreliable shadow regions, fringe order errors may occur. To address these challenges, this study presents a generalized multi-feature-guided progressive order correction algorithm (GMP-OCA) for high-quality 3D imaging. The algorithm integrates global coarse detection, incremental line-wise optimization, and regional precision scanning to progressively correct fringe orders. Static and dynamic experimental results demonstrate that GMP-OCA effectively eliminates the systematic errors inherent in various phase unwrapping methods, producing high-quality 3D imaging results.

IEEE Transactions on Image ProcessingVol. 34
Sichuan University (CN), Chengdu University of Information Technology (CN)
Openalex Percentile: Top 6%
Optical measurement and interference techniques
3.83
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