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Regional identification, partition, and integral phase unwrapping method for processing moiré interferometry images

Qiu, Wei; Kang, Yi-Lan; Qin, Qing-Hua; Li, Wei-Tang

Description

We present a new method of regional identification, partition, and integral (RIPI) phase unwrapping for processing images, especially those with low quality, obtained from moiré interferometry experiments. By introducing the principle of preorder traversal of a general tree in data structures and then by applying the idea of a regional integral, the proposed method makes regional partition and phase evaluation much easier and more accurate, and it also overcomes the common faults that can occur...[Show more]

dc.contributor.authorQiu, Wei
dc.contributor.authorKang, Yi-Lan
dc.contributor.authorQin, Qing-Hua
dc.contributor.authorLi, Wei-Tang
dc.date.accessioned2016-06-09T00:32:39Z
dc.date.available2016-06-09T00:32:39Z
dc.identifier.issn0003-6935
dc.identifier.urihttp://hdl.handle.net/1885/102354
dc.description.abstractWe present a new method of regional identification, partition, and integral (RIPI) phase unwrapping for processing images, especially those with low quality, obtained from moiré interferometry experiments. By introducing the principle of preorder traversal of a general tree in data structures and then by applying the idea of a regional integral, the proposed method makes regional partition and phase evaluation much easier and more accurate, and it also overcomes the common faults that can occur when conventional approaches, such as line defects, are used. Examples are given to demonstrate the advantage and applicability of the proposed RIPI method when processing experimental images. It is shown that the proposed method works well for global phase distribution, and, at the same time, local mutational information is preserved and limited to its vicinity without affecting other parts.
dc.description.sponsorshipThe authors acknowledge the financial support of the National Natural Science Foundation of China (SN 10232030) and the 2005 Endeavour Australia Cheung Kong Award.
dc.publisherOptical Society of America
dc.rights© 2006 Optical Society of America
dc.sourceApplied Optics
dc.titleRegional identification, partition, and integral phase unwrapping method for processing moiré interferometry images
dc.typeJournal article
local.description.notesImported from ARIES
local.identifier.citationvolume45
dc.date.issued2006
local.identifier.absfor091301
local.identifier.ariespublicationu4251866xPUB42
local.publisher.urlhttp://www.osa.org/en-us/home/
local.type.statusPublished Version
local.contributor.affiliationQui, Wei, Tianjin University, China
local.contributor.affiliationKang, Yi Lan, Tianjin University, China
local.contributor.affiliationQin, Qing Hua, College of Engineering and Computer Science, College of Engineering and Computer Science, Research School of Engineering, The Australian National University
local.contributor.affiliationLi, Wei, College of Physical and Mathematical Sciences, CPMS Research School of Physics and Engineering, Laser Physics Centre, The Australian National University
local.bibliographicCitation.issue25
local.bibliographicCitation.startpage6551
local.identifier.doi10.1364/AO.45.006551
local.identifier.absseo861503
CollectionsANU Research Publications

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