2019
DOI: 10.1364/ao.58.000554
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Image-spherizing-based planeness detecting method for a micro-channel plate

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Cited by 5 publications
(5 citation statements)
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“…The definition of image spherizing can be expressed as the expansion or contraction movement of a two-dimensional pattern in x-y plane along normal line direction (i.e., z axis) [14]. In general, if a grid pattern is projected onto a spherical object, the reflected pattern can be considered as the spherized image, as shown in Figure 1a,b.…”
Section: Image Spherizing Algorithm and Differential Theorymentioning
confidence: 99%
See 2 more Smart Citations
“…The definition of image spherizing can be expressed as the expansion or contraction movement of a two-dimensional pattern in x-y plane along normal line direction (i.e., z axis) [14]. In general, if a grid pattern is projected onto a spherical object, the reflected pattern can be considered as the spherized image, as shown in Figure 1a,b.…”
Section: Image Spherizing Algorithm and Differential Theorymentioning
confidence: 99%
“…More details of the image spherizing algorithm can be found in Ref. [14]. According to differential theory, an arbitrary curve can be divided into an infi straight line segment, thereby we can deduce that an arbitrary sphere or hemisphere be divided into infinite small wedges, as illustrated in Figure 2.…”
Section: Image Spherizing Algorithm and Differential Theorymentioning
confidence: 99%
See 1 more Smart Citation
“…Although it is micro-scale deformation, the properties and performance of OFM will be seriously affected. For instance, in a night vision photomultiplier tube, once the coupling gap between MCP and FOP increases by 0.1 mm, the resolution of the photomultiplier tube will decrease by more than 20% [4]. Therefore, it is necessary to detect and monitor the deformation of OFM in practice in order to ensure the performance of the device works well.…”
Section: Introductionmentioning
confidence: 99%
“…is phase map can be used to determine the correspondence between the projector image and the camera image of a single-camera or multicamera projector system [10]. To extract the phase information from these fringes, algorithms based on phase shifting, Fourier transform, windowed Fourier transform, and wavelet transform have been developed [11][12][13][14][15].…”
Section: Introductionmentioning
confidence: 99%