The effect of windowing in Fourier transform profilometry applied to noisy images

2.50
Hdl Handle:
http://hdl.handle.net/2436/23572
Title:
The effect of windowing in Fourier transform profilometry applied to noisy images
Authors:
Berryman, Fiona; Pynsent, Paul; Cubillo, James
Abstract:
This paper analyses the effectiveness of windowing to reduce errors in Fourier transform profilometry (FTP). Various levels of random noise have been added to simulated digital images of a spherical dome illuminated by fringes projected from an offset angle. The noisy images have been analysed using FTP with various window functions applied to the data before the forward Fourier transform. The theoretical dome was subtracted from the reconstructed domes to give error maps. The maximum and root mean square errors were calculated and plotted against the added noise level. At very low levels of added noise applying a pre-transform window produced considerably lower errors, nearly 50% lower for the Blackman window with no added noise. However, above around 10% added noise the reductions in the errors were reduced to only a few per cent. Whether pre-transform windowing is worthwhile therefore depends strongly on the noise content of the images.
Citation:
Optics and Lasers in Engineering, 41(6): 815-825
Publisher:
Elsevier Science Direct
Journal:
Optics and Lasers in Engineering
Issue Date:
2004
URI:
http://hdl.handle.net/2436/23572
DOI:
doi:10.1016/S0143-8166(03)00061-7
Additional Links:
http://www.sciencedirect.com/science/journal/01438166
Type:
Article
Language:
en
Appears in Collections:
Engineering and Technology

Full metadata record

DC FieldValue Language
dc.contributor.authorBerryman, Fiona-
dc.contributor.authorPynsent, Paul-
dc.contributor.authorCubillo, James-
dc.date.accessioned2008-04-16T10:55:41Z-
dc.date.available2008-04-16T10:55:41Z-
dc.date.issued2004-
dc.identifier.citationOptics and Lasers in Engineering, 41(6): 815-825en
dc.identifier.doidoi:10.1016/S0143-8166(03)00061-7-
dc.identifier.urihttp://hdl.handle.net/2436/23572-
dc.description.abstractThis paper analyses the effectiveness of windowing to reduce errors in Fourier transform profilometry (FTP). Various levels of random noise have been added to simulated digital images of a spherical dome illuminated by fringes projected from an offset angle. The noisy images have been analysed using FTP with various window functions applied to the data before the forward Fourier transform. The theoretical dome was subtracted from the reconstructed domes to give error maps. The maximum and root mean square errors were calculated and plotted against the added noise level. At very low levels of added noise applying a pre-transform window produced considerably lower errors, nearly 50% lower for the Blackman window with no added noise. However, above around 10% added noise the reductions in the errors were reduced to only a few per cent. Whether pre-transform windowing is worthwhile therefore depends strongly on the noise content of the images.en
dc.language.isoenen
dc.publisherElsevier Science Directen
dc.relation.urlhttp://www.sciencedirect.com/science/journal/01438166en
dc.subjectFourier Transform Profilometryen
dc.subjectWindowingen
dc.subjectRandom noiseen
dc.titleThe effect of windowing in Fourier transform profilometry applied to noisy imagesen
dc.typeArticleen
dc.identifier.journalOptics and Lasers in Engineeringen
All Items in WIRE are protected by copyright, with all rights reserved, unless otherwise indicated.