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Grayscale morphological filter based on local statistics

Authors :
Saule Smailova
Lyudmyla M. Kozak
Anatolii I. Povoroznyuk
Anna E. Filatova
Nurbek Orshubekov
Gaini Karnakova
Andrzej Kotyra
Olena V. Ignashchuk
Source :
SPIE Proceedings.
Publication Year :
2017
Publisher :
SPIE, 2017.

Abstract

The paper presents a method of improving a quality of radiological images for use in medical diagnosing. The method consists in grayscale morphological filtering that is based on local statistics. The essence of the proposed method is a proper modification of Wiener filter using both median and quantiles as local statistics of the morphological filter.

Details

ISSN :
0277786X
Database :
OpenAIRE
Journal :
SPIE Proceedings
Accession number :
edsair.doi...........21d160ac192d6f0b39430658628dab54
Full Text :
https://doi.org/10.1117/12.2280998