2012
DOI: 10.1016/j.optlaseng.2012.04.006
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Fringe analysis: Premise and perspectives

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Cited by 109 publications
(29 citation statements)
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“…The root-mean-square error (RMSE) in estimation of ∆ϕ 1 (x, y)and ∆ϕ 2 (x, y) were found to be 0.0558 and 0.0818 radians, respectively. The error in the phase estimation near the segment boundaries can be further reduced using overlapping segments [12,13], which improves the estimation accuracy, though at a higher computational cost.…”
Section: Simulation and Experimental Resultsmentioning
confidence: 99%
“…The root-mean-square error (RMSE) in estimation of ∆ϕ 1 (x, y)and ∆ϕ 2 (x, y) were found to be 0.0558 and 0.0818 radians, respectively. The error in the phase estimation near the segment boundaries can be further reduced using overlapping segments [12,13], which improves the estimation accuracy, though at a higher computational cost.…”
Section: Simulation and Experimental Resultsmentioning
confidence: 99%
“…Such optical techniques have been applied to measure physical parameters such as curvature radius, displacement, strain, surface profile and refractive index. The information regarding the measured physical quantity is stored in the radius parameter of the captured fringe pattern [1]. Some optical fringes, i.e., elementary fringes that have great importance in optical measurement (e.g., Newton's rings fringe patterns), have a quadratic (i.e., secondorder polynomial) phase.…”
Section: Introductionmentioning
confidence: 99%
“…Such systems not only find applications in the classical fields of physics and engineering, but have expanded into many other disciplines, such as medicine, life sciences, biometry, communication technology, display of information in three dimensions, analog optical computation, machine vision, and photogrammetry, to mention only a few examples [4][5][6][7][8][9][10]. Figure 1 depicts a generic phase-based measurement system.…”
Section: Introductionmentioning
confidence: 99%