https://m2.mtmt.hu/ hun 2026-05-01 21:55 JournalArticle 35690083 VALIDATED true Department of Mechanical Engineering, Electrical Engineering and Computer Science, Technical College of Applied Sciences in Zrenjanin, Đorđa Stratimirovića 23, Zrenjanin, 23000, Serbia John von Neumann Faculty of Informatics, Óbuda University, Becsi Str. 96/B, Budapest, H-1034, Hungary Symbolic Methods in Material Analysis and Tomography Research Group, Faculty of Engineering and Information Technology, University of Pecs, Boszorkany Str. 6, Pecs, H-7624, Hungary Institute of Information Technology, University of Dunaujvaros, Tancsics M. Str. 1/A, Dunaujvaros, H-2401, Hungary Export Date: 16 January 2025; Cited By: 0; Correspondence Address: V. Tadic; Department of Mechanical Engineering, Electrical Engineering and Computer Science, Technical College of Applied Sciences in Zrenjanin, Zrenjanin, Đorđa Stratimirovića 23, 23000, Serbia; email: vladimir.tadic@vts-zr.edu.rs 0 false 2026-01-27T11:04:13.216+0000 2025-01-21T14:31:41.535+0000 2025-01-15T07:27:24.845+0000 true 10062115 Beregi Gergely /api/admin/10062115 Admin true 10062115 2025-12-12T09:07:14.960+0000 2025-12-12T08:29:20.397+0000 2025-01-21T14:31:46.054+0000 true 10015207 Tamássyné T. Zsuzsa /api/admin/10015207 Admin true 10015207 true false true 24 24 /api/publicationtype/24 PublicationType 1 true 24 JournalArticle true 10000129 Notices/Popularizing article true 24 24 /api/publicationtype/24 PublicationType 1 true 24 JournalArticle /api/subtype/10000129 Ismertetés SubType 110 true 10000129 true 1 /api/category/1 Category true 1 Tadic, Vladimir Advances in Image Processing, Artificial Intelligence, and Intelligent Robotics true true /api/journal/10068089 REVIEWED true false 10068089 false 10068089 true 2079-9292 2079-9292 Journal FOREIGN 14 1 19 19 5 2025 In recent years, scientists and engineers have been striving to make digital image processing as efficient as the human visual system [1]. The integration of artificial intelligence, deep learning, and soft computing techniques has led to the development of advanced image processing algorithms [1,2]. Image processing is crucial in intelligent robotics, where the objective is to achieve precise, robust, and intelligent control based on visual data [3–5]. This has inspired the use of vision sensors and cameras in robotics, leading to innovative applications across industries such as agriculture, biology, and medicine [6–10]. Modern industrial systems are characterized by the extensive integration of various imaging devices and sensors, which in itself requires the use of multifarious image processing and artificial intelligence-based algorithms, which form the basis of or serve as an aid in the production and control process. Further, in medical diagnostics, image processing and artificial intelligence are of particular importance, since they play a significant role in novel medical devices. Recently, the use of artificial intelligence in image processing has attracted significant attention in all industries and is a very popular research direction in the scientific and research community at present. This Special Issue aims to provide researchers with a platform to present new trends, recent advancements, and future research directions. Contributions that addressed key challenges in image processing, deep learning, soft computing, sensor fusion, and robotic vision, as well as their applications in industrial robotics, were invited and accepted. 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(ÓE / NIK); Informatikai Intézet (DUE); Szimbolikus Módszerek az Anyagvizsgálatban és T... (PTE / MIK) 2 19 3 2 0 false Language 10002 /api/language/10002 Angol English true 2 true PersonAuthorship 122766576 /api/authorship/122766576 1 0.5 true false true Author 10072565 /api/author/10072565 Tadity Vladimir true true Tadic Vladimir true false false AuthorshipType 1 /api/authorshiptype/1 0 true 0 true false true PersonAuthorship 122766577 /api/authorship/122766577 2 0.5 false true false Author 10027227 /api/author/10027227 Odry Péter true 10027227 true Odry Péter true false false AuthorshipType 1 /api/authorshiptype/1 0 true 0 true false true PublicationIdentifier 28226084 /api/publicationidentifier/28226084 PlainSource 6 /api/publicationsource/6 PublicationSourceType 10001 /api/publicationsourcetype/10001 true true true DOI DOI https://doi.org/@@@ true true 6 true GOLD true IDENTICAL 10.3390/electronics14010019 https://doi.org/10.3390/electronics14010019 false true PublicationIdentifier 28268166 /api/publicationidentifier/28268166 PlainSource 1 /api/publicationsource/1 PublicationSourceType 10003 /api/publicationsourcetype/10003 false true true WoS WoS https://www.webofscience.com/wos/woscc/full-record/@@@ true true 1 true IDENTICAL 001394977600001 https://www.webofscience.com/wos/woscc/full-record/001394977600001 false true PublicationIdentifier 28236345 /api/publicationidentifier/28236345 PlainSource 3 /api/publicationsource/3 PublicationSourceType 10003 /api/publicationsourcetype/10003 false true true Scopus Scopus http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-@@@ true true 3 true IDENTICAL 85214510354 http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-85214510354 false true Reference 61852519 /api/reference/61852519 1 false true Reference 61852520 /api/reference/61852520 2 10.1109/ACCESS.2020.2995553 false true Reference 61852521 /api/reference/61852521 3 10.3390/machines10030183 false true Reference 61852522 /api/reference/61852522 4 10.1109/TIP.2024.3374225 false true Reference 61852523 /api/reference/61852523 5 10.1016/j.ymssp.2019.01.015 false true Reference 61852524 /api/reference/61852524 6 10.1109/TIP.2005.860624 false true Reference 61852525 /api/reference/61852525 7 10.1016/j.media.2024.103329 false true Reference 61852526 /api/reference/61852526 8 false true Reference 61852527 /api/reference/61852527 9 10.4236/jcc.2016.415002 false true Reference 61852528 /api/reference/61852528 10 10.1109/LSP.2023.3338055 false true /api/publication/35690083 <div class="JournalArticle Publication long-list"> <div class="authors"> <img title="Forrásközlemény" style="float: left" src="/frontend/resources/grid/publication-core-icon.png"> <img title="Idézőközlemény" style="float: left" src="/frontend/resources/grid/publication-citation-icon.png"> <div class="autype autype0"> <span class="author-name" mtid="10072565"><a href="/gui2/?type=authors&mode=browse&sel=10072565" target="_blank">Tadic Vladimir ✉ (<span class="authorship-author-name">Tadity Vladimir</span> <span class="authorAux-mtmt"> </span>) </a> </span> <span class="author-affil"><span title="Dunaújvárosi Egyetem">DUE</span>/Informatikai Intézet; <span title="Pécsi Tudományegyetem">PTE</span>/<span title="Műszaki és Informatikai Kar">MIK</span>/Szimbolikus Módszerek az Anyagvizsgálatban és Tomográfiában kutatócsoport; <span title="Óbudai Egyetem">ÓE</span>/<span title="Neumann János Informatikai Kar">NIK</span>/Biomatika és Alkalmazott Mesterséges Intelligencia Intézet</span> ;&nbsp;&nbsp;&nbsp; <span class="author-name" mtid="10027227"><a href="/gui2/?type=authors&mode=browse&sel=10027227" target="_blank">Odry Péter (<span class="authorship-author-name">Odry Péter</span> <span class="authorAux-mtmt"> alkalmazott informatika</span>) </a> </span> <span class="author-affil"><span title="Dunaújvárosi Egyetem">DUE</span>/Informatikai Intézet; <span title="Pécsi Tudományegyetem">PTE</span>/<span title="Műszaki és Informatikai Kar">MIK</span>/Szimbolikus Módszerek az Anyagvizsgálatban és Tomográfiában kutatócsoport</span> </div> </div> <div class="title"><a href="/gui2/?mode=browse&params=publication;35690083" target="_blank">Advances in Image Processing, Artificial Intelligence, and Intelligent Robotics</a></div> <div> <span class="journal-title">ELECTRONICS (SWITZ)</span> <span class="journal-issn">(<a target="_blank" href="https://portal.issn.org/resource/ISSN/2079-9292">2079-9292</a> <a target="_blank" href="https://portal.issn.org/resource/ISSN/2079-9292">2079-9292</a>)</span>: <span class="journal-volume">14</span> <span class="journal-issue">1</span> <span class="page"> Paper 19. 5 p. </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 class="id identifier oa_GOLD" title=" Gold "> <a style="color:blue" title="10.3390/electronics14010019" target="_blank" href="https://doi.org/10.3390/electronics14010019"> DOI </a> </span> <span class="id identifier oa_none" title="none"> <a style="color:blue" title="001394977600001" target="_blank" href="https://www.webofscience.com/wos/woscc/full-record/001394977600001"> WoS </a> </span> <span class="id identifier oa_none" title="none"> <a style="color:blue" title="85214510354" target="_blank" href="http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-85214510354"> Scopus </a> </span> </span> <div class="publication-citation" style="margin-left: 0.5cm;"> <span title="Nyilvános idézőközlemények összesen, említések nélkül" class="citingPub-count">Nyilvános idéző összesen: 1</span> | Független: 1 | Függő: 0 | Nem jelölt: 0 | Scopus jelölt:&nbsp;1 | WoS/Scopus jelölt:&nbsp;1 | DOI jelölt:&nbsp;1 </div> <div class="publication-citation"> <a target="_blank" href="/api/publication?cond=citations.related;eq;35690083&sort=publishedYear,desc&sort=title"> Idézett közlemények száma: 3 </a> </div> <div class="mtid"><span class="long-pub-mtid">Közlemény: 35690083</span> | <span class="status-data status-VALIDATED"> Egyeztetett </span> Forrás Idéző | <span class="type-subtype">Folyóiratcikk ( Ismertetés ) </span> | <span class="pub-category">Tudományos</span> | <span class="publication-sourceOfData">kézi felvitel</span> </div> <div class="funder"> Elektromos gépjárművek automatikus töltését megvalósító töltő robot kutatási fejlesztési projekt(2020-1.1.2-PIACI-KFI-2020-00173) Támogató: Nemzeti Kutatás, Fejlesztés és Innovációs Iroda, Új típusú, új zárási technikával ellátott műanyag tégely kutatása, fejlesztése(GINOP_PLUSZ-2.1.1-21-2022-00249) Támogató: GINOP, Ipar 4.0 alapú, hibrid gyártástechnológia fejlesztése hazai forrású reciklált alapanyagok értéknö...(2023-1.1.1-PIACI_FÓKUSZ-2024-00011) Támogató: NKFI </div> <div class="lastModified">Utolsó módosítás: 2025.01.21. 15:31 Tamássyné T. Zsuzsa (OE admin) </div> <pre class="comment" style="margin-top: 0; margin-bottom: 0;"><u>Megjegyzés</u>: Department of Mechanical Engineering, Electrical Engineering and Computer Science, Technical College of Applied Sciences in Zrenjanin, Đorđa Stratimirovića 23, Zrenjanin, 23000, Serbia John von Neumann Faculty of Informatics, Óbuda University, Becsi Str. 96/B, Budapest, H-1034, Hungary Symbolic Methods in Material Analysis and Tomography Research ...</pre> </div></div>