Multiscale decomposition using median and morphological filters

Autor:	R.V. Aldridge, J.A. Bangham
Rok vydání:	2005
Předmět:	Background noise Multiscale decomposition business.industry Pattern recognition (psychology) Pattern recognition Prototype filter Computer vision Artificial intelligence Optical filter business Image resolution Uncorrelated Mathematics
Zdroj:	IEEE Winter Workshop on Nonlinear Digital Signal Processing.
DOI:	10.1109/ndsp.1993.767731
Popis:	The small differences between the output from cascades of multiscale median and morphological filters (datasieves) is explored. It is shown that the self dual nature median filters confers statistical verity and that open/close (close/open) filters have the advantage of yielding what appears to be a 1:1 transform pair. Overall, however, they distinguish ID patterns equally well from an uncorrelated noisy background.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::148c19e6f880c9d8384d04d4d0b712ee https://doi.org/10.1109/ndsp.1993.767731 Zobrazit plný text záznamu