On the Null-Space of the Shape-Color Moment Invariants

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F19%3A00508017" target="_blank" >RIV/67985556:_____/19:00508017 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-030-29888-3_32" target="_blank" >http://dx.doi.org/10.1007/978-3-030-29888-3_32</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-030-29888-3_32" target="_blank" >10.1007/978-3-030-29888-3_32</a>

Result language
angličtina
Original language name
On the Null-Space of the Shape-Color Moment Invariants
Original language description
In this paper, we extend the theory of the combined Shape-Color Affine Moment Invariants (SCAMIs) for recognition of color images, proposed originally by Gong et al. in [3]. Since in the real pictures the shape deformation is always accompanied by the color deformation, it is not sufficient to use the shape invariant or color invariant descriptors only and the use of combined invariants is needed. However, the SCAMIs are not able to recognize images, the color channels of which are linearly dependent or highly correlated. This situation is not rare in practice and is of particular importance in hyper-spectral image analysis, where the spectral bands are highly correlated. We analyze why the SCAMIs fail in such situations, correct the theory and propose a solution to overcome such drawback. Unlike the SCAMIs, the new invariants have in the null-space the constant-zero images only, which leads to a better discrimination power, as demonstrated also on various pictures.
Czech name
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Czech description
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Project
<a href="/en/project/GA18-07247S" target="_blank" >GA18-07247S: Methods and Algorithms for Vector and Tensor Field Image Analysis</a><br>
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Computer Analysis of Images and Patterns : CAIP 2019 International Workshops, ViMaBi and DL-UAV, Salerno, Italy, September 6, 2019, Proceedings
ISBN
978-3-030-29929-3
ISSN
—
e-ISSN
—
Number of pages
7
Pages from-to
402-408
Publisher name
Springer
Place of publication
Cham
Event location
Salerno
Event date
Sep 2, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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