Moment-based image enhancement for brain tumor health monitoring

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dc.contributor.authorBarmak, Honarvar
dc.contributor.authorAsli, Shakibaei
dc.contributor.authorWang, Yuhan
dc.date.accessioned2022-11-07T05:58:32Z
dc.date.available2022-11-07T05:58:32Z
dc.date.embargo10/11/2022
dc.date.issued2022-11-08
dc.description11th International Conference on Through-life Engineering Services - TESConf 2022, 8-9 November 2022, Cranfield UKen_UK
dc.description.abstractSince the stable increasing incidence of brain tumors in recent years, brain tumor detection and monitoring are being attached with more impor tance. To implement the image feature extraction approach for the current imaging system, the image mo- ments' concepts are introduced. The theory of image moments is applied for brain image analysis, which is a weighted average of the image pixels' intensities representing the characteristics of the mentioned brain images with potential tumor diseases. This paper describes several continuous and discrete moments in terms of the polynomial kernels used and distinguishes their differences regarding image recon struction and enhancement. The experimental results confirm that the proposed discrete Tchebichef and Krawtchouk moments are more robust in terms of noise and blur reduction than the existing methods, such as the Wiener filter. This process explains how th e proposed image moments technique can be applied in the health monitoring of brain tumors via image analysis procedures.en_UK
dc.description.sponsorshipDMG Morien_UK
dc.identifier.citationHonarvar Shakibaei Asli B, Wang Y. (2022) Moment-based image enhancement for brain tumor health monitoring. In: 11th International Conference on Through-life Engineering Services - TESConf 2022, 8-9 November 2022, Cranfield UK, Paper number 3405en_UK
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/18660
dc.language.isoenen_UK
dc.publisherCranfield Universityen_UK
dc.relation.ispartofseriesTESConf2022;3405
dc.rightsAttribution 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectHealth monitoringen_UK
dc.subjectorthogonalityen_UK
dc.subjectimage enhancementen_UK
dc.subjectimage analysisen_UK
dc.titleMoment-based image enhancement for brain tumor health monitoringen_UK
dc.typeConference paperen_UK

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11th International Conference on Through-life Engineering Services 2022