Regional identification, partition, and integral phase unwrapping method for processing moiré interferometry images
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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.author | Qiu, Wei | |
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dc.contributor.author | Kang, Yi-Lan | |
dc.contributor.author | Qin, Qing-Hua | |
dc.contributor.author | Li, Wei-Tang | |
dc.date.accessioned | 2016-06-09T00:32:39Z | |
dc.date.available | 2016-06-09T00:32:39Z | |
dc.identifier.issn | 0003-6935 | |
dc.identifier.uri | http://hdl.handle.net/1885/102354 | |
dc.description.abstract | 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 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.sponsorship | The authors acknowledge the financial support of the National Natural Science Foundation of China (SN 10232030) and the 2005 Endeavour Australia Cheung Kong Award. | |
dc.publisher | Optical Society of America | |
dc.rights | © 2006 Optical Society of America | |
dc.source | Applied Optics | |
dc.title | Regional identification, partition, and integral phase unwrapping method for processing moiré interferometry images | |
dc.type | Journal article | |
local.description.notes | Imported from ARIES | |
local.identifier.citationvolume | 45 | |
dc.date.issued | 2006 | |
local.identifier.absfor | 091301 | |
local.identifier.ariespublication | u4251866xPUB42 | |
local.publisher.url | http://www.osa.org/en-us/home/ | |
local.type.status | Published Version | |
local.contributor.affiliation | Qui, Wei, Tianjin University, China | |
local.contributor.affiliation | Kang, Yi Lan, Tianjin University, China | |
local.contributor.affiliation | Qin, Qing Hua, College of Engineering and Computer Science, College of Engineering and Computer Science, Research School of Engineering, The Australian National University | |
local.contributor.affiliation | Li, Wei, College of Physical and Mathematical Sciences, CPMS Research School of Physics and Engineering, Laser Physics Centre, The Australian National University | |
local.bibliographicCitation.issue | 25 | |
local.bibliographicCitation.startpage | 6551 | |
local.identifier.doi | 10.1364/AO.45.006551 | |
local.identifier.absseo | 861503 | |
Collections | ANU Research Publications |
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