Two-dimensional shape-adaptive windowing functions for image analysis
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F19%3APU133981" target="_blank" >RIV/00216305:26220/19:PU133981 - isvavai.cz</a>
Result on the web
<a href="https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2018.5697" target="_blank" >https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2018.5697</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1049/iet-ipr.2018.5697" target="_blank" >10.1049/iet-ipr.2018.5697</a>
Alternative languages
Result language
angličtina
Original language name
Two-dimensional shape-adaptive windowing functions for image analysis
Original language description
Two-dimensional (2D) windowing functions (e.g. Hann's) defined on square (or rectangular) sub-matrices are routinely used in image processing when the local 2D Fourier transform has to be computed. However, in applications where the square-shaped 2D Fourier transform has to be computed from a spatially limited subset of image data of irregular shape (e.g. from an area obtained by segmenting), windowing functions defined on square sub-matrices cannot be used. Therefore, there is a need for 2D weighting functions whose support shape is adaptable to the shape of a given binary object. Several design variants of 2D shape-adaptive windowing functions (SAW) are presented as a proposed solution to this problem. In order to quantitatively assess and compare the design variants, five criteria for measurement of 2D SAW qualities are proposed. Based on extensive testing undertaken on both simulated and real-life data, it can be concluded that qualities of each of the proposed 2D SAW design variants are generally superior to the quality of an evenly-weighting window according to these test criteria. In conclusion, one of these 2D SAW design variants is recommended as superior for generic use in image processing.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
20202 - Communication engineering and systems
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
IET Image Processing
ISSN
1751-9659
e-ISSN
1751-9667
Volume of the periodical
13
Issue of the periodical within the volume
11
Country of publishing house
GB - UNITED KINGDOM
Number of pages
8
Pages from-to
1853-1861
UT code for WoS article
000487789000005
EID of the result in the Scopus database
2-s2.0-85072652522