Affine moment invariants of tensor fields
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00023001%3A_____%2F23%3A00083932" target="_blank" >RIV/00023001:_____/23:00083932 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-031-31435-3_20" target="_blank" >http://dx.doi.org/10.1007/978-3-031-31435-3_20</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-031-31435-3_20" target="_blank" >10.1007/978-3-031-31435-3_20</a>
Alternative languages
Result language
angličtina
Original language name
Affine moment invariants of tensor fields
Original language description
Tensor fields (TF) are a special kind of multidimensional data, in which a tensor is given for each point in space. Often, it is a 3×3 array in each voxel. To detect the patterns of interest in the field, special matching methods must be developed. We propose a method for the description and matching of TF patterns under an unknown affine transformation of the field. Transformations of TFs act not only in the spatial coordinates but also on the field values, which makes the detection more challenging. To measure the similarity between the template and the field patch, we propose original invariants with respect to affine transformations designed from moments. Their performance is demonstrated by experiments on real data from diffusion tensor imaging.
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
30224 - Radiology, nuclear medicine and medical imaging
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Image analysis : 22nd Scandinavian Conference, SCIA 2023, Sirkka, Finland, April 18–21, 2023, Proceedings, Part I
ISBN
978-3-031-31434-6
ISSN
0302-9743
e-ISSN
1611-3349
Number of pages
15
Pages from-to
"299–313"
Publisher name
Springer
Place of publication
Cham
Event location
Sirkka, FI
Event date
Apr 18, 2023
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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