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Hybrid speckle de-noising filters for ultrasound images

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dc.contributor.author Sikhakhane, K
dc.contributor.author Rimer, S
dc.contributor.author Gololo, M
dc.contributor.author Ouahada, K
dc.contributor.author Abu-Mahfouz, Adnan MI
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
dc.identifier.uri http://hdl.handle.net/10204/13510
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 - en_ZA
dc.identifier.worklist 27256 en_US


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