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Blind quality assessment for slice of microtomographic image

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dc.contributor.authorYakimchuk, I.
dc.contributor.authorKornilov, A.
dc.contributor.authorSafonov, I.
dc.contributor.authorКорнилов, Антон Сергеевич
dc.contributor.authorСафонов, Илья Владимирович
dc.date.accessioned2024-11-21T09:03:34Z
dc.date.available2024-11-21T09:03:34Z
dc.date.issued2019
dc.description.abstract© 2019 FRUCT.The paper considers a new algorithm for blind quality assessment of a slice of X-ray microtomographic image. We selected the following factors impacting on micro-CT image quality with respect to Digital Rock technology: Smoothness, sharpness, contrast, absence of high-density regions and ring artifacts. We propose algorithms for estimation of partial quality measures for named factors inside Region-of-Interest, that is in area associated with a sample of rock or granular material. Total quality metrics is calculated as a product of these partial measures. Our method for quality assessment provides reasonable outcomes for synthetic and real slices of micro-CT images. We collected experts' judgments about quality of slices. Proposed solution has a high correlation with scores of experts and outperforms existing blind quality metrics. An application of developed method to all slices allows to obtain quality estimation for 3D micro-CT image.
dc.format.extentС. 170-178
dc.identifier.citationYakimchuk, I. Blind quality assessment for slice of microtomographic image / Yakimchuk, I., Kornilov, A., Safonov, I. // Conference of Open Innovation Association, FRUCT. - 2019. - 2019-April. - P. 170-178. - 10.23919/FRUCT.2019.8711938
dc.identifier.doi10.23919/FRUCT.2019.8711938
dc.identifier.urihttps://www.doi.org/10.23919/FRUCT.2019.8711938
dc.identifier.urihttps://www.scopus.com/record/display.uri?eid=2-s2.0-85066425277&origin=resultslist
dc.identifier.urihttp://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=Alerting&SrcApp=Alerting&DestApp=WOS_CPL&DestLinkType=FullRecord&UT=WOS:000469999300024
dc.identifier.urihttps://openrepository.mephi.ru/handle/123456789/18132
dc.relation.ispartofConference of Open Innovation Association, FRUCT
dc.titleBlind quality assessment for slice of microtomographic image
dc.typeConference Paper
dspace.entity.typePublication
oaire.citation.volume2019-April
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