dc.contributor.author |
Sikhakhane, K
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dc.contributor.author |
Rimer, S
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|
dc.contributor.author |
Gololo, M
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|
dc.contributor.author |
Ouahada, K
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|
dc.contributor.author |
Abu-Mahfouz, Adnan MI
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|
dc.date.accessioned |
2024-01-11T10:38:27Z |
|
dc.date.available |
2024-01-11T10:38:27Z |
|
dc.date.issued |
2023-09 |
|
dc.identifier.citation |
Sikhakhane, K., Rimer, S., Gololo, M., Ouahada, K. & Abu-Mahfouz, A.M. 2023. Hybrid speckle de-noising filters for ultrasound images. http://hdl.handle.net/10204/13510 . |
en_ZA |
dc.identifier.uri |
DOI: 10.1109/AFRICON55910.2023.10293419
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|
dc.identifier.uri |
http://hdl.handle.net/10204/13510
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|
dc.description.abstract |
Ultrasound imaging uses reflected echo signals from high-frequency sound waves transmitted into a body with high water content to create images of the internal soft tissue, bone, and blood flow. Different kinds of noise are introduced during the signal acquisition and processing stages. Ultrasound images are mostly affected by speckle noise. High-quality images can improve the observational accuracy of diagnostic exams. Speckle noise degrades an image's quality, making it difficult to recognize, analyze, and measure. To reduce speckle noise in ultrasound images and improve diagnostic capability, an investigation and comparison study of the different image filters currently available was done. Thereafter a hybrid filter combination of speckle, gaussian, median and average filter was used to remove speckle noise in ultrasound images. The proposed hybrid filters outperformed other filters in terms of PSNR, SNR, SSIM and MSE. |
en_US |
dc.format |
Abstract |
en_US |
dc.language.iso |
en |
en_US |
dc.relation.uri |
https://ieeexplore.ieee.org/document/10293419 |
en_US |
dc.source |
2023 IEEE AFRICON, Nairobi, Kenya, 20-22 September 2023 |
en_US |
dc.subject |
Ultrasound imaging |
en_US |
dc.subject |
Image processing |
en_US |
dc.subject |
Speckle noise |
en_US |
dc.subject |
Digital filters |
en_US |
dc.subject |
Gaussian |
en_US |
dc.subject |
Wiener |
en_US |
dc.subject |
Specklefilt |
en_US |
dc.subject |
Median |
en_US |
dc.title |
Hybrid speckle de-noising filters for ultrasound images |
en_US |
dc.type |
Conference Presentation |
en_US |
dc.description.pages |
6 |
en_US |
dc.description.note |
©2023 IEEE. Due to copyright restrictions, the attached PDF file only contains the abstract of the full text item. For access to the full text item, please consult the publisher's website: https://ieeexplore.ieee.org/document/10293419 |
en_US |
dc.description.cluster |
Next Generation Enterprises & Institutions |
en_US |
dc.description.impactarea |
EDT4IR Management |
en_US |
dc.identifier.apacitation |
Sikhakhane, K., Rimer, S., Gololo, M., Ouahada, K., & Abu-Mahfouz, A. M. (2023). Hybrid speckle de-noising filters for ultrasound images. http://hdl.handle.net/10204/13510 |
en_ZA |
dc.identifier.chicagocitation |
Sikhakhane, K, S Rimer, M Gololo, K Ouahada, and Adnan MI Abu-Mahfouz. "Hybrid speckle de-noising filters for ultrasound images." <i>2023 IEEE AFRICON, Nairobi, Kenya, 20-22 September 2023</i> (2023): http://hdl.handle.net/10204/13510 |
en_ZA |
dc.identifier.vancouvercitation |
Sikhakhane K, Rimer S, Gololo M, Ouahada K, Abu-Mahfouz AM, Hybrid speckle de-noising filters for ultrasound images; 2023. http://hdl.handle.net/10204/13510 . |
en_ZA |
dc.identifier.ris |
TY - Conference Presentation
AU - Sikhakhane, K
AU - Rimer, S
AU - Gololo, M
AU - Ouahada, K
AU - Abu-Mahfouz, Adnan MI
AB - Ultrasound imaging uses reflected echo signals from high-frequency sound waves transmitted into a body with high water content to create images of the internal soft tissue, bone, and blood flow. Different kinds of noise are introduced during the signal acquisition and processing stages. Ultrasound images are mostly affected by speckle noise. High-quality images can improve the observational accuracy of diagnostic exams. Speckle noise degrades an image's quality, making it difficult to recognize, analyze, and measure. To reduce speckle noise in ultrasound images and improve diagnostic capability, an investigation and comparison study of the different image filters currently available was done. Thereafter a hybrid filter combination of speckle, gaussian, median and average filter was used to remove speckle noise in ultrasound images. The proposed hybrid filters outperformed other filters in terms of PSNR, SNR, SSIM and MSE.
DA - 2023-09
DB - ResearchSpace
DP - CSIR
J1 - 2023 IEEE AFRICON, Nairobi, Kenya, 20-22 September 2023
KW - Ultrasound imaging
KW - Image processing
KW - Speckle noise
KW - Digital filters
KW - Gaussian
KW - Wiener
KW - Specklefilt
KW - Median
LK - https://researchspace.csir.co.za
PY - 2023
T1 - Hybrid speckle de-noising filters for ultrasound images
TI - Hybrid speckle de-noising filters for ultrasound images
UR - http://hdl.handle.net/10204/13510
ER -
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en_ZA |
dc.identifier.worklist |
27256 |
en_US |