Rotation invariants from Gaussian-Hermite moments of color images

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F18%3A00479748" target="_blank" >RIV/67985556:_____/18:00479748 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1016/j.sigpro.2017.08.027" target="_blank" >http://dx.doi.org/10.1016/j.sigpro.2017.08.027</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.sigpro.2017.08.027" target="_blank" >10.1016/j.sigpro.2017.08.027</a>

Result language
angličtina
Original language name
Rotation invariants from Gaussian-Hermite moments of color images
Original language description
The topic of the paper is recognition of objects and patterns in color images regardless of their position, orientation, and scale. Gaussian–Hermite moment invariants designed especially for color images are in- troduced in this paper. We extend the existing invariants for graylevel images and show that in the case of color images there exist additional independent invariants, which can be constructed as joint invari- ants from cross-channel moments and/or from new non-trivial low-order moments. The experiments on real data confirmed that the new invariants improve the recognition rate.
Czech name
—
Czech description
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Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
—
OECD FORD branch
20206 - Computer hardware and architecture

Project
<a href="/en/project/GA15-16928S" target="_blank" >GA15-16928S: Invariants and adaptive representations of digital images</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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