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Preliminary study of improved median filter using adaptively mask size in light microscopic image

Authors
Kim, Ji-YounLee, Youngjin
Issue Date
Feb-2020
Publisher
OXFORD UNIV PRESS
Keywords
de-noising algorithm; improved median filter; light microscopic image; quantitative evaluation of image quality
Citation
Microscopy, v.69, no.1, pp.31 - 36
Journal Title
Microscopy
Volume
69
Number
1
Start Page
31
End Page
36
URI
https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/26408
DOI
10.1093/jmicro/dfz111
ISSN
2050-5701
Abstract
This study aimed to develop and evaluate an improved median filter (IMF) with an adaptive mask size for light microscope (LM) images. We acquired images of the mouse first molar using a LM at 100× magnification. The images obtained using our proposed IMF were compared with those from a conventional median filter. Several parameters such as the contrast-to-noise ratio, coefficient of variation, no-reference assessments and peak signal-to-noise ratio were employed to evaluate the image quality quantitatively. The results demonstrated that the proposed IMF could effectively de-noise the LM images and preserve the image details, achieving a better performance than the conventional median filter. © The Author(s) 2020. Published by Oxford University Press on behalf of The Japanese Society of Microscopy. All rights reserved.For permissions, please e-mail: journals.permissions@oup.com.
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보건과학대학 > 방사선학과 > 1. Journal Articles
보건과학대학 > 치위생학과 > 1. Journal Articles

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Kim, Ji Youn
Health Science (Dept.of Dental Hygiene)
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