The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
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The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Développer une méthode de lissage pour la réduction des taches est un problème important, en raison des caractéristiques ultrasonores complexes et de l’obscurité de l’image tissulaire. Cet article présente une nouvelle méthode de réduction des taches à partir d’images ultrasonores médicales en utilisant un algorithme de réduction des taches morphologiques floues (FMSR) qui préserve les détails résolubles tout en supprimant les taches afin de faire face aux images ultrasonores ambiguës et obscures. FMSR crée une image nettoyée en recombinant les images résiduelles traitées avec une version lissée d'une image originale. Les performances de la méthode proposée ont été testées sur les images fantômes et tissulaires. Les résultats montrent que la méthode réduit efficacement le speckle tout en préservant les détails résolubles.
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Erwin AVIANTO, Masayasu ITO, "Speckle Reduction for Ultrasonic Images Using Fuzzy Morphology" in IEICE TRANSACTIONS on Information,
vol. E84-D, no. 4, pp. 502-510, April 2001, doi: .
Abstract: To develop a smoothing method for speckle reduction is a significant problem, because of the complex ultrasonic characteristics and the obscurity of the tissue image. This paper presents a new method for speckle reduction from medical ultrasonic image by using fuzzy morphological speckle reduction algorithm (FMSR) that preserves resolvable details while removing speckle in order to cope with the ambiguous and obscure ultrasonic images. FMSR creates a cleaned image by recombining the processed residual images with a smoothed version of an original image. Performance of the proposed method has been tested on the phantom and tissue images. The results show that the method effectively reduces the speckle while preserving the resolvable details.
URL: https://global.ieice.org/en_transactions/information/10.1587/e84-d_4_502/_p
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@ARTICLE{e84-d_4_502,
author={Erwin AVIANTO, Masayasu ITO, },
journal={IEICE TRANSACTIONS on Information},
title={Speckle Reduction for Ultrasonic Images Using Fuzzy Morphology},
year={2001},
volume={E84-D},
number={4},
pages={502-510},
abstract={To develop a smoothing method for speckle reduction is a significant problem, because of the complex ultrasonic characteristics and the obscurity of the tissue image. This paper presents a new method for speckle reduction from medical ultrasonic image by using fuzzy morphological speckle reduction algorithm (FMSR) that preserves resolvable details while removing speckle in order to cope with the ambiguous and obscure ultrasonic images. FMSR creates a cleaned image by recombining the processed residual images with a smoothed version of an original image. Performance of the proposed method has been tested on the phantom and tissue images. The results show that the method effectively reduces the speckle while preserving the resolvable details.},
keywords={},
doi={},
ISSN={},
month={April},}
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TY - JOUR
TI - Speckle Reduction for Ultrasonic Images Using Fuzzy Morphology
T2 - IEICE TRANSACTIONS on Information
SP - 502
EP - 510
AU - Erwin AVIANTO
AU - Masayasu ITO
PY - 2001
DO -
JO - IEICE TRANSACTIONS on Information
SN -
VL - E84-D
IS - 4
JA - IEICE TRANSACTIONS on Information
Y1 - April 2001
AB - To develop a smoothing method for speckle reduction is a significant problem, because of the complex ultrasonic characteristics and the obscurity of the tissue image. This paper presents a new method for speckle reduction from medical ultrasonic image by using fuzzy morphological speckle reduction algorithm (FMSR) that preserves resolvable details while removing speckle in order to cope with the ambiguous and obscure ultrasonic images. FMSR creates a cleaned image by recombining the processed residual images with a smoothed version of an original image. Performance of the proposed method has been tested on the phantom and tissue images. The results show that the method effectively reduces the speckle while preserving the resolvable details.
ER -