https://m2.mtmt.hu/ hun 2026-07-14 15:21 BookChapter 36327379 VALIDATED true 0 false 2025-10-13T14:14:37.411+0000 2025-10-13T14:13:27.167+0000 2025-09-11T07:16:06.015+0000 true 10080222 Knyihár Gábor /api/author/10080222 Author true 2025-10-13T14:13:22.800+0000 2025-10-13T14:13:22.800+0000 2025-10-13T14:13:27.171+0000 true 10072271 Andódy Katalin /api/admin/10072271 Admin true true false true 25 25 /api/publicationtype/25 PublicationType 2 true 25 BookChapter true 10000312 Conference paper true 25 25 /api/publicationtype/25 PublicationType 2 true 25 BookChapter /api/subtype/10000312 Konferenciaközlemény SubType 228 true 10000312 true 1 /api/category/1 Category true 1 Knyihár, Gábor Segmentation of CT Images of Concrete Samples using UNet-based Deep Learning Models for Aggregate Identification 151 162 151 12 2025 CT imaging is a reliable method for examining the internal structure of concrete samples. However, several problems must be overcome when examining the images, such as noise and resolution difficulties, which prevent some traditional image processing methods from accurately segmenting the components. Many other areas have already successfully used deep learning models to overcome such problems. This work investigates several different UNet-based deep learning approaches for accurately identifying aggregates. Segmentation masks can be used to determine the Grading Curve of samples. The results show we can achieve adequate accuracy using UNet-based solutions to segment the CT images. Based on those masks, the Grading Curve is determinable with less than a 5% error. false true NATIONAL 2025 false true true true true false NONE 2025-10-13 false 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 false false false false 2025-10-12T14:13:26.988+0000 Automatizálási és Alkalmazott Informatikai Tanszék (BME / VIK) 1 5 1 1 0 true 331 true 10002 English /api/language/10002 Angol Language true 2 false true 10003 true 10001 /api/country/10001 Country true 1 /api/city/10003 City true 10005024 true 29559860 IDENTICAL /api/publicationidentifier/29559860 https://www.worldcat.org/search?q=isbn%3A9789634219989 9789634219989 PublicationIdentifier true 122 ISBN https://www.worldcat.org/search?q=isbn%3A@@@ /api/publicationsource/122 ISBN PlainSource true true 10002 /api/publicationsourcetype/10002 PublicationSourceType true false 122 true false true 29980768 IDENTICAL /api/publicationidentifier/29980768 PublicationIdentifier true 15 /api/publicationsource/15 autopszia PlainSource true true 10002 /api/publicationsourcetype/10002 PublicationSourceType true false 15 true false /api/publication/36229366 true true 23 23 /api/publicationtype/23 PublicationType 3 true 23 Book Proceedings of the Automation and Applied Computer Science Workshop 2025 false true 36229366 true false true true true 10000144 Conference proceedings true 23 23 /api/publicationtype/23 PublicationType 3 true 23 Book /api/subtype/10000144 Konferenciakötet SubType 345 true 10000144 false Book 2025 true 1 /api/category/1 Category true 1 false Language 10002 /api/language/10002 Angol English true 2 true PersonAuthorship 127783796 /api/authorship/127783796 1 1.0 true false Author 10080222 /api/author/10080222 Knyihár Gábor true true Knyihár Gábor true false false AuthorshipType 1 /api/authorshiptype/1 0 true 0 true false true PublicationIdentifier 29991452 /api/publicationidentifier/29991452 PlainSource 15 /api/publicationsource/15 PublicationSourceType 10002 /api/publicationsourcetype/10002 false true true autopszia true true 15 true IDENTICAL false true Classification 10880 /api/classification/10880 true true Keyword 17482 /api/keyword/17482 true 17482 true Keyword 1017775 /api/keyword/1017775 true 1017775 true Keyword 1343421 /api/keyword/1343421 true 1343421 true Keyword 1427322 /api/keyword/1427322 true 1427322 true Keyword 3494672 /api/keyword/3494672 true true Keyword 3906952 /api/keyword/3906952 true true /api/publication/36327379 <div class="BookChapter Publication long-list"> <div class="authors"> <img title="Forrásközlemény" style="float: left" src="/frontend/resources/grid/publication-core-icon.png"> <div class="autype autype0"> <span class="author-name" mtid="10080222"><a href="/gui2/?type=authors&mode=browse&sel=10080222" target="_blank">Knyihár Gábor (<span class="authorship-author-name">Knyihár Gábor</span> <span class="authorAux-mtmt"> informatika</span>) </a> </span> <span class="author-affil"><span title="Budapesti Műszaki és Gazdaságtudományi Egyetem">BME</span>/<span title="Villamosmérnöki és Informatikai Kar">VIK</span>/Automatizálási és Alkalmazott Informatikai Tanszék</span> </div> </div> <div class="title"><a href="/gui2/?mode=browse&params=publication;36327379" target="_blank">Segmentation of CT Images of Concrete Samples using UNet-based Deep Learning Models for Aggregate Identification</a></div> <div class="InBook"><div class="chapter-in">In:</div> <div class="authors"> <div class="autype autype-1"> <span class="author-name" mtid="10001498"><a href="/gui2/?type=authors&mode=browse&sel=10001498" target="_blank">Vajk István (<span class="authorship-author-name">Vajk István</span> <span class="authorAux-mtmt"> Irányítástechnika, műszaki informatika</span>) </a> </span> <span class="author-affil"><span title="Budapesti Műszaki és Gazdaságtudományi Egyetem">BME</span>/<span title="Villamosmérnöki és Informatikai Kar">VIK</span>/Automatizálási és Alkalmazott Informatikai Tanszék</span> ;&nbsp;&nbsp;&nbsp; <span class="author-name" mtid="10042251"><a href="/gui2/?type=authors&mode=browse&sel=10042251" target="_blank">Dunaev Dmitriy (<span class="authorship-author-name">Dunaev Dmitriy</span> <span class="authorAux-mtmt"> Computer Science</span>) </a> </span> <span class="author-affil"><span title="Budapesti Műszaki és Gazdaságtudományi Egyetem">BME</span>/<span title="Villamosmérnöki és Informatikai Kar">VIK</span>/Automatizálási és Alkalmazott Informatikai Tanszék</span> (szerk.) </div> </div> <div class="booktitle"><a href="/gui2/?mode=browse&params=publication;36229366" target="_blank">Proceedings of the Automation and Applied Computer Science Workshop 2025 : AACS'25 </a></div> <div class="conference"> Konferencia helye, ideje: <span class="location">Budapest, Magyarország <span class="conference-date">2025.06.27. - 2025.06.27.</span> (<span class="conference-organizer">Budapesti Műszaki Egyetem, Automatizálási és Alkalmazott Informatikai Tanszék) </div> <span class="publishedAt">Budapest: <span class="publishers">Budapest University of Technology and Economics, Department of Automation and Applied Informatics</span>, <span class="page"> pp 151-162 </span> <span class="year">(2025)</span> </div> <div class="pub-footer"> <span class="language" xmlns="http://www.w3.org/1999/html">Nyelv: Angol | </span> <span class="identifiers"> <span style="color:blue" class="id">autopszia</span> </span> <span class="bookchapter-ids">Befoglaló link(ek):</span> <span class="identifiers"> <span class="id identifier oa_none" title="none"> <span class="isbnOrIssn"> ISBN: </span> <a style="color:blue" title="9789634219989" target="_blank" href="https://www.worldcat.org/search?q=isbn%3A9789634219989"> 9789634219989 </a> </span> <span style="color:blue" class="id">autopszia</span> </span> <div class="mtid"><span class="long-pub-mtid">Közlemény: 36327379</span> | <span class="status-data status-VALIDATED"> Egyeztetett </span> <span class="long-book-mtid">Befoglaló: 36229366</span> Forrás | <span class="type-subtype">Könyvrészlet ( Konferenciaközlemény ) </span> | <span class="pub-category">Tudományos</span> | <span class="publication-sourceOfData"></span> </div> <div class="lastModified">Utolsó módosítás: 2025.10.13. 16:13 Andódy Katalin (BME admin4) </div> </div> </div>