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Filtering methods in speckle noise reduction in biomedical images

dc.contributor.authorBilynsky, Yo.en
dc.contributor.authorNikolskyy, A.en
dc.contributor.authorHuralnyk, A.en
dc.contributor.authorDembitska, S.en
dc.contributor.authorKotyra, A.en
dc.contributor.authorZhunissova, U.en
dc.contributor.authorБілинський, Й. Ю.uk
dc.contributor.authorНікольський, О. І.uk
dc.contributor.authorДембіцька, С. В.uk
dc.date.accessioned2023-01-20T13:21:07Z
dc.date.available2023-01-20T13:21:07Z
dc.date.issued2022
dc.description.abstractA review of the methods of filtering ultrasound images on the example of hip dysplasia images is presented, their advantages and disadvantages are shown. Demonstrated ways of computer diagnostics of Hip dysplasia development. The method of filtration of the speckle noise of ultrasonic images of the hip dysplasia was proposed. The proposed method focuses on Gaussian blur effects. The idea of the method is that performs a logical AND operation between the original input image and two another images processed Gaussian filtering. The algorithm was tested on the tested images, as well as on real ultrasound images of hip dysplasia.en
dc.identifier.citationBilynsky Yo., Nikolskyy A., Huralnyk A., Dembitska S., Kotyra A., Zhunissova U. Filtering methods in speckle noise reduction in biomedical images. Proc. SPIE 12476, Photonics Applications in Astronomy, Communications, Industry, and High Energy Physics Experiments 2022, 124760C (12 December 2022). 2022. DOI: 10.1117/12.2664480.en
dc.identifier.doi10.1117/12.2664480
dc.identifier.urihttp://ir.lib.vntu.edu.ua/handle/123456789/36235
dc.language.isoenen
dc.publisherSociety of Photo-Optical Instrumentation Engineersen
dc.relation.ispartofProc. SPIE 12476, Photonics Applications in Astronomy, Communications, Industry, and High Energy Physics Experiments 2022en
dc.relation.urihttps://doi.org/10.1117/12.2664480
dc.subjectultrasonic imagesen
dc.subjectspeckle noiseen
dc.subjectimage processingen
dc.titleFiltering methods in speckle noise reduction in biomedical imagesen
dc.typeArticle

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