Cargando…

Edge Preserved Speckle Noise Reduction Using Integrated Fuzzy Filters

Echocardiographic images are inherent with speckle noise which makes visual reading and analysis quite difficult. The multiplicative speckle noise masks finer details, necessary for diagnosis of abnormalities. A novel speckle reduction technique based on integration of geometric, wiener, and fuzzy f...

Descripción completa

Detalles Bibliográficos
Autores principales: Biradar, Nagashettappa, Dewal, M. L., Rohit, Manoj Kumar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4897154/
https://www.ncbi.nlm.nih.gov/pubmed/27437499
http://dx.doi.org/10.1155/2014/876434
_version_ 1782436098783313920
author Biradar, Nagashettappa
Dewal, M. L.
Rohit, Manoj Kumar
author_facet Biradar, Nagashettappa
Dewal, M. L.
Rohit, Manoj Kumar
author_sort Biradar, Nagashettappa
collection PubMed
description Echocardiographic images are inherent with speckle noise which makes visual reading and analysis quite difficult. The multiplicative speckle noise masks finer details, necessary for diagnosis of abnormalities. A novel speckle reduction technique based on integration of geometric, wiener, and fuzzy filters is proposed and analyzed in this paper. The denoising applications of fuzzy filters are studied and analyzed along with 26 denoising techniques. It is observed that geometric filter retains noise and, to address this issue, wiener filter is embedded into the geometric filter during iteration process. The performance of geometric-wiener filter is further enhanced using fuzzy filters and the proposed despeckling techniques are called integrated fuzzy filters. Fuzzy filters based on moving average and median value are employed in the integrated fuzzy filters. The performances of integrated fuzzy filters are tested on echocardiographic images and synthetic images in terms of image quality metrics. It is observed that the performance parameters are highest in case of integrated fuzzy filters in comparison to fuzzy and geometric-fuzzy filters. The clinical validation reveals that the output images obtained using geometric-wiener, integrated fuzzy, nonlocal means, and details preserving anisotropic diffusion filters are acceptable. The necessary finer details are retained in the denoised echocardiographic images.
format Online
Article
Text
id pubmed-4897154
institution National Center for Biotechnology Information
language English
publishDate 2014
publisher Hindawi Publishing Corporation
record_format MEDLINE/PubMed
spelling pubmed-48971542016-07-19 Edge Preserved Speckle Noise Reduction Using Integrated Fuzzy Filters Biradar, Nagashettappa Dewal, M. L. Rohit, Manoj Kumar Int Sch Res Notices Research Article Echocardiographic images are inherent with speckle noise which makes visual reading and analysis quite difficult. The multiplicative speckle noise masks finer details, necessary for diagnosis of abnormalities. A novel speckle reduction technique based on integration of geometric, wiener, and fuzzy filters is proposed and analyzed in this paper. The denoising applications of fuzzy filters are studied and analyzed along with 26 denoising techniques. It is observed that geometric filter retains noise and, to address this issue, wiener filter is embedded into the geometric filter during iteration process. The performance of geometric-wiener filter is further enhanced using fuzzy filters and the proposed despeckling techniques are called integrated fuzzy filters. Fuzzy filters based on moving average and median value are employed in the integrated fuzzy filters. The performances of integrated fuzzy filters are tested on echocardiographic images and synthetic images in terms of image quality metrics. It is observed that the performance parameters are highest in case of integrated fuzzy filters in comparison to fuzzy and geometric-fuzzy filters. The clinical validation reveals that the output images obtained using geometric-wiener, integrated fuzzy, nonlocal means, and details preserving anisotropic diffusion filters are acceptable. The necessary finer details are retained in the denoised echocardiographic images. Hindawi Publishing Corporation 2014-10-30 /pmc/articles/PMC4897154/ /pubmed/27437499 http://dx.doi.org/10.1155/2014/876434 Text en Copyright © 2014 Nagashettappa Biradar et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Biradar, Nagashettappa
Dewal, M. L.
Rohit, Manoj Kumar
Edge Preserved Speckle Noise Reduction Using Integrated Fuzzy Filters
title Edge Preserved Speckle Noise Reduction Using Integrated Fuzzy Filters
title_full Edge Preserved Speckle Noise Reduction Using Integrated Fuzzy Filters
title_fullStr Edge Preserved Speckle Noise Reduction Using Integrated Fuzzy Filters
title_full_unstemmed Edge Preserved Speckle Noise Reduction Using Integrated Fuzzy Filters
title_short Edge Preserved Speckle Noise Reduction Using Integrated Fuzzy Filters
title_sort edge preserved speckle noise reduction using integrated fuzzy filters
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4897154/
https://www.ncbi.nlm.nih.gov/pubmed/27437499
http://dx.doi.org/10.1155/2014/876434
work_keys_str_mv AT biradarnagashettappa edgepreservedspecklenoisereductionusingintegratedfuzzyfilters
AT dewalml edgepreservedspecklenoisereductionusingintegratedfuzzyfilters
AT rohitmanojkumar edgepreservedspecklenoisereductionusingintegratedfuzzyfilters