Features of the Invariant Correlation Filter Application for Recognition of Color Subpixel Images

Autor:	D. S. Goncharov, E. K. Petrova, T. Sh. Fazliev, V. G. Rodin, N. A. Trocenko, Rostislav S. Starikov, N. M. Ponomarev
Rok vydání:	2021
Předmět:	Physics Quantum optics Nuclear and High Energy Physics Digital image correlation Matching (graph theory) business.industry ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Correlation filter Astronomy and Astrophysics Statistical and Nonlinear Physics Pattern recognition Subpixel rendering Electronic Optical and Magnetic Materials Correlation Computer Science::Sound Computer Science::Computer Vision and Pattern Recognition Preprocessor Artificial intelligence Electrical and Electronic Engineering Invariant (mathematics) business
Zdroj:	Radiophysics and Quantum Electronics. 63:605-611
ISSN:	1573-9120 0033-8443
DOI:	10.1007/s11141-021-10083-x
Popis:	We present the results of simulation of image recognition using invariant correlation filters. The possibilities of exploiting color information and preprocessing for quality improvement of subpixel image correlation matching are shown.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::524d5c39dcebaaedbbf462df435ffb1f https://doi.org/10.1007/s11141-021-10083-x Zobrazit plný text záznamu Plný text ve formátu PDF