4.7 Article

New quality weight used for phase unwrapping in color fringe reflection method

Journal

MEASUREMENT
Volume 176, Issue -, Pages -

Publisher

ELSEVIER SCI LTD
DOI: 10.1016/j.measurement.2021.109187

Keywords

Color fringe-reflection; Phase unwrapping; Quality weight; 3D reconstruction

Funding

  1. National Natural Science Foundation of China [51775230, 61762018]
  2. Natural Science Foundation of Guangxi Zhuang Autonomous Region [2017GXNSFAA198313, 2018GXNSFAA281310, 2018GXNSFAA294003]
  3. Cultivation Plan for 1000 Young and MiddleAged Key Teachers from Universities of Guangxi Zhuang Autonomous Region
  4. Innovation special project of Zhongshan Science and Technology Bureau [2019AG001]
  5. Guangxi 100 Youth Talent Program [F-KA16016]
  6. Colleges and Universities Key Laboratory of Intelligent Integrated Automation, Guilin University of Electronic Technology, China [GXZDSY201603]
  7. Guangxi Key Lab of Multisource Information Mining Security [18A0202]

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The study combined fringe-reflection technology with a three-step phase-shifting approach, proposing a new quality weight MRGV to improve the PU algorithm, and utilizing the Southwell integration algorithm for 3D reconstruction, resulting in a 3.09% lower reconstruction error compared to other methods, demonstrating effective defect detection and accurate measurement of rotationally symmetrical surfaces.
The fringe -reflection technology has been widely applied in the fields of industrial inspection and measurements. In the present study, three-step phase-shifting is developed using the color fringe-reflection approach to inspect a work-piece surface with rotational symmetry characteristics, and an improved experiment is proposed. In addition, by combining Robert gradient with fringe modulation, a new quality weight, referred to as ?Modulation-Robert gradient variance? (MRGV), is proposed for quality-guiding the phase-unwrapping (PU) algorithm. In comparison to the traditional quality weights, MRGV presented higher noise immunity and lower PU error in the root mean square (RMS). In addition, in terms of defect detection, MRGV performed better than the other weights. Finally, after MRGV-guided PU conduction, the proposed experiment method is used in combination with an improved Southwell integration algorithm to realize the 3D reconstruction. The reconstruction error is approximately 3.09% lower than that presented by certain other methods. Furthermore, the results indicated that the combination of the proposed method and the new quality weight could effectively detect the defects and offer an accurate measurement of a rotationally symmetrical surface to a certain extent.

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