0479748 20240103214725.820171017235959.9 85029597416 000413608100029 10.1016/j.sigpro.2017.08.027 10 s. P cav_un_epca*02550760165-16841431 (2018)282-291Elsevier Color images Object recognition Rotation invariants Gaussian–Hermite moments Joint invariants cav_un_auth*0236665 Yang B. CN cav_un_auth*0101203 Zpracování obrazové informace Department of Image Processing ZOI ZOI Department of Image Processing Suk Tomáš UTIA-B Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0101087 Zpracování obrazové informace Department of Image Processing ZOI ZOI Department of Image Processing Flusser Jan UTIA-B Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0351712 Shi Z. CN cav_un_auth*0351713 Chen X. CN http://library.utia.cas.cz/separaty/2017/ZOI/suk-0479748.pdf cav_un_auth*0314467 GA15-16928S GA ČR 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. JD 20000 20200 20206 2019 5 4 A hod 4ah 20231122142728.3 RVO:67985556 http://hdl.handle.net/11104/0276741 1 Department of Image Processing UTIA-B 10200 COMPUTER SCIENCE, THEORY & METHODS S 2 Article Engineering Electrical Electronic ENGINEERING.ELECTRICAL&ELECTRONIC 3.653 1.435 4.5 0.01933 0.821 13641 0.905 3.527 370 Q1 58.44 80.3 Q2 Q1 1.35 Q1 80.263 2018 Soubory v repozitáři: suk-0479748.pdf 85029597416 SCOPUS PUBMED 000413608100029 WOS cav_un_epca*0255076 Signal Processing 0165-1684 1872-7557 Roč. 143 č. 1 2018 282 291 Elsevier