1998
DOI: 10.1117/12.323335
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<title>Fiber optical single-frame speckle interferometer for measuring industrial surfaces</title>

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Cited by 7 publications
(4 citation statements)
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“…Although this method can perform dynamic measurements, the system is complicated, has a large error, and the setting of the phase shift between multiple cameras is difficult to implement, making the method unsuitable for practical applications. A method of obtaining spatial phase shift using only a single CCD camera was later proposed [29]. One method of doing this is to divide a single CCD into at least three imaging regions, then introduce a fixed phase difference between each region.…”
Section: Multichannel Spatial Phase-shift Shearographymentioning
confidence: 99%
“…Although this method can perform dynamic measurements, the system is complicated, has a large error, and the setting of the phase shift between multiple cameras is difficult to implement, making the method unsuitable for practical applications. A method of obtaining spatial phase shift using only a single CCD camera was later proposed [29]. One method of doing this is to divide a single CCD into at least three imaging regions, then introduce a fixed phase difference between each region.…”
Section: Multichannel Spatial Phase-shift Shearographymentioning
confidence: 99%
“…The system was used for transient flow visualisation with a camera operating at 82 frames per second. A binary grating has been used to separate the images for spatial phase stepping, but ancillary polarizing elements were used to introduce the phase step [17,18].…”
Section: Experimental Demonstrationmentioning
confidence: 99%
“…. , 3}2 which is defined by (t1,t2) = (i1 + 1)) j2 ((t2 + 1)) (1) for all t E jp2 where qi,q2,q3 : IR -* JR are given by i() = (t -1)2, q2(t) = -(1 -1)2 + , and 3(t) = corresponding to the B-spline basis on [0, 1] with knot sequence [-2, -1, 0, 1, 2,3] (middle polynomial segment). Herewith, the system matrix of the corresponding least squares problem is defined by A = (ak) E pjlxM with akj = jij(sk) where the least squares problem can be stated as II4x-yf2 mm!.…”
Section: Local Approximation 21 Tile Processing Strategymentioning
confidence: 99%