Počet záznamů: 1
Robust histogram-based image retrieval
- 1.0452147 - ÚTIA 2016 RIV NL eng J - Článek v odborném periodiku
Höschl, Cyril - Flusser, Jan
Robust histogram-based image retrieval.
Pattern Recognition Letters. Roč. 69, č. 1 (2016), s. 72-81. ISSN 0167-8655. E-ISSN 1872-7344
Grant CEP: GA ČR GA15-16928S
Institucionální podpora: RVO:67985556
Klíčová slova: Image retrieval * Noisy image * Histogram * Convolution * Moments * Invariants
Kód oboru RIV: JD - Využití počítačů, robotika a její aplikace
Impakt faktor: 1.995, rok: 2016
http://library.utia.cas.cz/separaty/2015/ZOI/hoschl-0452147.pdf
We present a histogram-based image retrieval method which is designed specifically for noisy query images. The images are reretrieved according to histogram similarity. To reach high robustness to noise, the histograms are described by newly proposed features which are insensitive to a Gaussian additive noise in the original images. The advantage of the new method is proved theoretically and demonstrated experimentally on real data.
Trvalý link: http://hdl.handle.net/11104/0253176
Počet záznamů: 1