Grayscale morphological filter based on local statistics

Anatolii I. Povoroznyuk; Anna E. Filatova; Lyudmyla M. Kozak; Olena V. Ignashchuk; Andrzej Kotyra; Nurbek Orshubekov; Saule Smailova; Gaini Karnakova

doi:10.1117/12.2280998

7 August 2017 Grayscale morphological filter based on local statistics

Anatolii I. Povoroznyuk, Anna E. Filatova, Lyudmyla M. Kozak, Olena V. Ignashchuk, Andrzej Kotyra, Nurbek Orshubekov, Saule Smailova, Gaini Karnakova

Author Affiliations +

Proceedings Volume 10445, Photonics Applications in Astronomy, Communications, Industry, and High Energy Physics Experiments 2017; 104452F (2017) https://doi.org/10.1117/12.2280998
Event: Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2017, 2017, Wilga, Poland

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.

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Anatolii I. Povoroznyuk, Anna E. Filatova, Lyudmyla M. Kozak, Olena V. Ignashchuk, Andrzej Kotyra, Nurbek Orshubekov, Saule Smailova, and Gaini Karnakova "Grayscale morphological filter based on local statistics", Proc. SPIE 10445, Photonics Applications in Astronomy, Communications, Industry, and High Energy Physics Experiments 2017, 104452F (7 August 2017); https://doi.org/10.1117/12.2280998

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