Phase Unwrapping Error Correction Based on Multiple Linear Regression Analysis
Sensors, ISSN: 1424-8220, Vol: 23, Issue: 5
2023
- 5Citations
- 8Captures
- 1Mentions
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
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Metrics Details
- Citations5
- Citation Indexes5
- Captures8
- Readers8
- Mentions1
- News Mentions1
- 1
Most Recent News
Study Findings from Chinese Academy of Sciences Advance Knowledge in Sensor Research (Phase Unwrapping Error Correction Based on Multiple Linear Regression Analysis)
2023 MAR 22 (NewsRx) -- By a News Reporter-Staff News Editor at Tech Daily News -- New study results on sensor research have been published.
Article Description
Fringe projection profilometry (FPP) is prone to phase unwrapping error (PUE) due to phase noise and measurement conditions. Most of the existing PUE-correction methods detect and correct PUE on a pixel-by-pixel or partitioned block basis and do not make full use of the correlation of all information in the unwrapped phase map. In this study, a new method for detecting and correcting PUE is proposed. First, according to the low rank of the unwrapped phase map, multiple linear regression analysis is used to obtain the regression plane of the unwrapped phase, and thick PUE positions are marked on the basis of the tolerance set according to the regression plane. Then, an improved median filter is used to mark random PUE positions and finally correct marked PUE. Experimental results show that the proposed method is effective and robust. In addition, this method is progressive in the treatment of highly abrupt or discontinuous regions.
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