Stationarity testing in 2D image analysis
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60461373%3A22340%2F19%3A43919476" target="_blank" >RIV/60461373:22340/19:43919476 - isvavai.cz</a>
Alternative codes found
RIV/68407700:21230/19:00336888
Result on the web
<a href="https://www.spiedigitallibrary.org/conference-proceedings-of-spie/11137/2529346/Stationarity-testing-in-2D-image-analysis/10.1117/12.2529346.short" target="_blank" >https://www.spiedigitallibrary.org/conference-proceedings-of-spie/11137/2529346/Stationarity-testing-in-2D-image-analysis/10.1117/12.2529346.short</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1117/12.2529346" target="_blank" >10.1117/12.2529346</a>
Alternative languages
Result language
angličtina
Original language name
Stationarity testing in 2D image analysis
Original language description
Signal and image stationarity is the basic assumption for many methods of their analysis. However this assumption is not true in a lot of real cases. The paper is focused on local stationary testing using a small symmetric neighbourhood. The neighbourhood is split into two parts which should have the same statistical properties when the hypothesis of image stationarity is valid. We apply various testing approaches (two-sampled F-test, t-test, WMW, K-S) to obtain adequate p-values for given pixel, mask position, and test type. Finally, using battery of masks and tests, we obtain the series of p-values for every pixel. Applying False Discovery Rate (FDR) methodology, we localize all the pixels when any hypothesis falls. Resulting binary image is an alternative to traditional edge detection but with strong statistical background.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/GA17-05840S" target="_blank" >GA17-05840S: Multicriteria Optimization of Shift-Variant Imaging System Models</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of SPIE Volume 11137, Applications of Digital Image Processing XLII
ISBN
978-1-5106-2967-7
ISSN
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e-ISSN
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Number of pages
8
Pages from-to
"111372G-1"-"111372G-8"
Publisher name
SPIE the International Society for Optical Engineering
Place of publication
Bellingham, WA
Event location
San Diego
Event date
Aug 11, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000511298300068