Rotation invariants from Gaussian-Hermite moments of color images

0479748 - ÚTIA 2019 RIV NL eng J - Journal Article
Yang, B. - Suk, Tomáš - Flusser, Jan - Shi, Z. - Chen, X.
Rotation invariants from Gaussian-Hermite moments of color images.
Signal Processing. Roč. 143, č. 1 (2018), s. 282-291. ISSN 0165-1684. E-ISSN 1872-7557
R&D Projects: GA ČR GA15-16928S
Institutional support: RVO:67985556
Keywords : Color images * Object recognition * Rotation invariants * Gaussian–Hermite moments * Joint invariants
OECD category: Computer hardware and architecture
Impact factor: 4.086, year: 2018
http://library.utia.cas.cz/separaty/2017/ZOI/suk-0479748.pdf

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.
Permanent Link: http://hdl.handle.net/11104/0276741