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Proceedings Paper

Grayscale morphological filter based on local statistics
Author(s): Anatolii I. Povoroznyuk; Anna E. Filatova; Lyudmyla M. Kozak; Olena V. Ignashchuk; Andrzej Kotyra; Nurbek Orshubekov; Saule Smailova; Gaini Karnakova
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Paper 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.

Paper Details

Date Published: 7 August 2017
PDF: 8 pages
Proc. SPIE 10445, Photonics Applications in Astronomy, Communications, Industry, and High Energy Physics Experiments 2017, 104452F (7 August 2017); doi: 10.1117/12.2280998
Show Author Affiliations
Anatolii I. Povoroznyuk, Technical Univ. "Kharkiv Polytechnic Institute" (Ukraine)
Anna E. Filatova, Technical Univ. "Kharkiv Polytechnic Institute" (Ukraine)
Lyudmyla M. Kozak, Technical Univ. "Kharkiv Polytechnic Institute" (Ukraine)
Olena V. Ignashchuk, Vinnytsia National Medical Univ. (Ukraine)
Andrzej Kotyra, Lublin Univ. of Technology (Poland)
Nurbek Orshubekov, Kazakh Univ. of Railways and Communications (Kazakhstan)
Saule Smailova, D. Serikbayev East Kazakhstan State Technical Univ. (Kazakhstan)
Gaini Karnakova, M.Kh. Dulaty Taraz State Univ. (Kazakhstan)


Published in SPIE Proceedings Vol. 10445:
Photonics Applications in Astronomy, Communications, Industry, and High Energy Physics Experiments 2017
Ryszard S. Romaniuk; Maciej Linczuk, Editor(s)

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