A high speed image analysis for velocity measurement using correlation technique

Autor:	Tomomasa Uemura, Yasuaki Hasegawa
Rok vydání:	1987
Předmět:	business.industry 8-bit Measure (mathematics) Image (mathematics) Correlation Set (abstract data type) Distribution (mathematics) Flow (mathematics) Computer vision Artificial intelligence business Algorithm Reliability (statistics) Mathematics
Zdroj:	JOURNAL OF THE FLOW VISUALIZATION SOCIETY OF JAPAN. 7:11-14
ISSN:	1884-0361 0287-3605
DOI:	10.3154/jvs1981.7.supplement_11
Popis:	A new method to measure a velocity distribution through the analysis of the visualized image of a flow is developed. The method ischaracterized by two points. One is the very high speed performance. The other is its very simple and economical analyzing system. Using the system, it takes only 45 see. to analyze a couple of 256*256*8 bit images and to obtain a set of velocity vectors. And it should be noted that it enables to evaluate the reliability of the measurements quantitatively by using correlation coefficients.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::e6c840868323de7699a3a61fd782a118 https://doi.org/10.3154/jvs1981.7.supplement_11 Zobrazit plný text záznamu