dc.contributor.author | Loizou, Christos P. | en |
dc.contributor.author | Kasparis, Takis | en |
dc.contributor.author | Christodoulides, Paul | en |
dc.contributor.author | Theofanous, Charoula | en |
dc.contributor.author | Pantzaris, Marios C. | en |
dc.contributor.author | Kyriacou, Efthyvoulos C. | en |
dc.contributor.author | Pattichis, Constantinos S. | en |
dc.creator | Loizou, Christos P. | en |
dc.creator | Kasparis, Takis | en |
dc.creator | Christodoulides, Paul | en |
dc.creator | Theofanous, Charoula | en |
dc.creator | Pantzaris, Marios C. | en |
dc.creator | Kyriacou, Efthyvoulos C. | en |
dc.creator | Pattichis, Constantinos S. | en |
dc.date.accessioned | 2019-11-13T10:41:01Z | |
dc.date.available | 2019-11-13T10:41:01Z | |
dc.date.issued | 2012 | |
dc.identifier.isbn | 978-1-4673-4358-9 | |
dc.identifier.uri | http://gnosis.library.ucy.ac.cy/handle/7/54414 | |
dc.description.abstract | Noise reduction is essential for increasing the visual quality or as a preprocessing step for further automated analysis in video sequences and video coding. The objective of this work was to investigate four different video despeckle filtering techniques and evaluate them using visual assessment by two medical experts, texture features analysis, and video quality evaluation metrics. The four proposed video despeckle filtering techniques were evaluated on 10 ultrasound videos of the common carotid artery (CCA). The filters were applied on the whole video frame and in a selected by the user region of interest (ROI) which included the atherosclerotic carotid plaque. The despeckle filters were based on linear filtering (DsFlsmv), hybrid median filtering (DsFhmedian), nonlinear filtering (DsFkuwahara) and speckle reducing anisotropic diffusion (DsFsrad) filtering. Our results showed that, the best video despeckle filtering methods were the linear filter DsFlsmv, followed by the hybrid median filter DsFhmedian. Both filters improved the visual perception evaluation by experts and gave better texture and video quality metrics. Further work on a larger number of videos and by employing additional despeckle filtering techniques is required for the evaluation of video despeckle filtering methods on ultrasound videos of the CCA. © 2012 IEEE. | en |
dc.source | IEEE 12th International Conference on BioInformatics and BioEngineering, BIBE 2012 | en |
dc.source | 12th IEEE International Conference on BioInformatics and BioEngineering, BIBE 2012 | en |
dc.source.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-84872847012&doi=10.1109%2fBIBE.2012.6399756&partnerID=40&md5=b0ea603da8ea38187df1e3d5408752b6 | |
dc.subject | Quality control | en |
dc.subject | Linear filtering | en |
dc.subject | Image coding | en |
dc.subject | Video signal processing | en |
dc.subject | Ultrasonics | en |
dc.subject | carotid artery | en |
dc.subject | Bioinformatics | en |
dc.subject | Textures | en |
dc.subject | Noise abatement | en |
dc.subject | Common carotid artery | en |
dc.subject | Image segmentation | en |
dc.subject | Filtering technique | en |
dc.subject | Video quality | en |
dc.subject | Visual qualities | en |
dc.subject | Carotid plaques | en |
dc.subject | Texture features | en |
dc.subject | Pre-processing step | en |
dc.subject | texture analysis | en |
dc.subject | Automated analysis | en |
dc.subject | De-speckling | en |
dc.subject | Despeckling | en |
dc.subject | Filtering method | en |
dc.subject | Linear filters | en |
dc.subject | Median filtering | en |
dc.subject | Median filters | en |
dc.subject | Medical experts | en |
dc.subject | Region of interest | en |
dc.subject | Speckle reducing anisotropic diffusion | en |
dc.subject | video | en |
dc.subject | Video frame | en |
dc.subject | Video sequences | en |
dc.subject | Visual assessments | en |
dc.subject | Visual perception | en |
dc.title | Despeckle filtering in ultrasound video of the common carotid artery | en |
dc.type | info:eu-repo/semantics/conferenceObject | |
dc.identifier.doi | 10.1109/BIBE.2012.6399756 | |
dc.description.startingpage | 721 | |
dc.description.endingpage | 726 | |
dc.author.faculty | 002 Σχολή Θετικών και Εφαρμοσμένων Επιστημών / Faculty of Pure and Applied Sciences | |
dc.author.department | Τμήμα Πληροφορικής / Department of Computer Science | |
dc.type.uhtype | Conference Object | en |
dc.description.notes | <p>Sponsors: IEEE | en |
dc.description.notes | IEEE Computer Society | en |
dc.description.notes | University of Cyprus | en |
dc.description.notes | Biological and AI Foundation (BAIF) | en |
dc.description.notes | Frederick University | en |
dc.description.notes | Conference code: 95206 | en |
dc.description.notes | Cited By :8</p> | en |
dc.contributor.orcid | Pattichis, Constantinos S. [0000-0003-1271-8151] | |
dc.contributor.orcid | Kyriacou, Efthyvoulos C. [0000-0002-4589-519X] | |
dc.contributor.orcid | Loizou, Christos P. [0000-0003-1247-8573] | |
dc.contributor.orcid | Pantzaris, Marios C. [0000-0003-2937-384X] | |
dc.gnosis.orcid | 0000-0003-1271-8151 | |
dc.gnosis.orcid | 0000-0002-4589-519X | |
dc.gnosis.orcid | 0000-0003-1247-8573 | |
dc.gnosis.orcid | 0000-0003-2937-384X | |