Statistical Analysis of Denoising Filter Effects on GLCM Texture Features

Comparative study of four denoising filters on GLCM texture features across four noise types; shows that paired/repeated-measures tests more than double significant findings compared to naive independent-groups tests.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-09-14
DOI
https://doi.org/10.5281/zenodo.22749485
Primary Topic
Advanced Neuroimaging Techniques and Applications
Type
preprint
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preprint

Statistical Analysis of Denoising Filter Effects on GLCM Texture Features

Amirhossein MoradiSizkouhi
Zenodo (CERN European Organization for Nuclear Research)
Advanced Neuroimaging Techniques and Applications
preprint

Statistical Analysis of Denoising Filter Effects on GLCM Texture Features

Amirhossein MoradiSizkouhi
preprint en

Abstract

Comparative study of four denoising filters on GLCM texture features across four noise types; shows that paired/repeated-measures tests more than double significant findings compared to naive independent-groups tests.

Zenodo (CERN European Organization for Nuclear Research)
Imam Khomeini International University (IR)
Advanced Neuroimaging Techniques and Applications
DOIOpen Access PDFOpenAlex
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Statistical Analysis of Denoising Filter Effects on GLCM Texture Features — Amirhossein MoradiSizkouhi · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS