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Article . 2026
License: CC BY
Data sources: Datacite
ZENODO
Article . 2026
License: CC BY
Data sources: Datacite
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An Efficient Image Enhancement Method Using Anisotropic Diffusion Filter and Gabor filter

Authors: Dr.Avinash S; Dr. Prathapchandra; Dr.Praveen Haandi Lakshman; Mr. Ramachandra; Mrs.Sushma K H;

An Efficient Image Enhancement Method Using Anisotropic Diffusion Filter and Gabor filter

Abstract

Abstract: Geometric distortion in lung X-ray is a common issue, often caused by errors in the data acquisition system such as optical lenses, imaging sensors, and the imaging environment. Correcting geometric distortion is a major stage in medical imaging and remote sensing. It directly impacts the accuracy and performance of next stages of lung X-ray. In this study, the use of the Anisotropic Diffusion Filter (ADF) for noise removal, in combination with the Gabor Filter (GF) to reduce distortion, helps to effectively enhance lung images.

Keywords

X-ray, Lung Cancer, Image enhancement, Gabor Filter, one- and two-dimensional filer masks

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
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