Preliminary study of improved median filter using adaptively mask size in light microscopic image
- Authors
- Kim, Ji-Youn; Lee, 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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Collections - 보건과학대학 > 방사선학과 > 1. Journal Articles
- 보건과학대학 > 치위생학과 > 1. Journal Articles
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