prikaz prve stranice dokumenta Grainautline – a Supervised Grain Boundary Extraction Tool Supported by Image Processing and Pattern Recognition
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Scientific paper - Original scientific paper
Grainautline – a Supervised Grain Boundary Extraction Tool Supported by Image Processing and Pattern Recognition
In: ASMOSIA XI, Interdisciplinary Studies on Ancient Stone, Proceedings of the XI International Conference of ASMOSIA. Split: University of Split, Arts Academy in Split; University of Split, Faculty of Civil Engineering, Architecture and Geodesy, 2018. pp. 587-595. https://doi.org/10.31534/XI.asmosia.2015/04.01
Csorba, Kristóf; Barancsuk, Lilla; Székely, Balázs; Zöldföldi, Judit

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Csorba, K., Barancsuk, L., Székely, B. & Zöldföldi, J. (2018). Grainautline – a Supervised Grain Boundary Extraction Tool Supported by Image Processing and Pattern Recognition. ASMOSIA XI, Interdisciplinary Studies on Ancient Stone, Proceedings of the XI International Conference of ASMOSIA (pp. 587-595). Split: University of Split, Arts Academy in Split, University of Split, Faculty of Civil Engineering, Architecture and Geodesy. doi: 10.31534/XI.asmosia.2015/04.01

Csorba, Kristóf, et al. "Grainautline – a Supervised Grain Boundary Extraction Tool Supported by Image Processing and Pattern Recognition." ASMOSIA XI, Interdisciplinary Studies on Ancient Stone, Proceedings of the XI International Conference of ASMOSIA, University of Split, Arts Academy in Split, University of Split, Faculty of Civil Engineering, Architecture and Geodesy, 2018, pp. 587-595. https://urn.nsk.hr/urn:nbn:hr:123:050051

Csorba, Kristóf, Lilla Barancsuk, Balázs Székely and Judit Zöldföldi. "Grainautline – a Supervised Grain Boundary Extraction Tool Supported by Image Processing and Pattern Recognition." In ASMOSIA XI, Interdisciplinary Studies on Ancient Stone, Proceedings of the XI International Conference of ASMOSIA, 587-595. Split: University of Split, Arts Academy in Split, University of Split, Faculty of Civil Engineering, Architecture and Geodesy, 2018. Accessed 2024 August 08. https://urn.nsk.hr/urn:nbn:hr:123:050051

Csorba, K., et al. (2018) 'Grainautline – a Supervised Grain Boundary Extraction Tool Supported by Image Processing and Pattern Recognition', ASMOSIA XI, Interdisciplinary Studies on Ancient Stone, Proceedings of the XI International Conference of ASMOSIA, University of Split, Arts Academy in Split, University of Split, Faculty of Civil Engineering, Architecture and Geodesy, Split, pp. 587-595. Available at: https://urn.nsk.hr/urn:nbn:hr:123:050051 (Accessed 08 August 2024)

Csorba K, Barancsuk L, Székely B, Zöldföldi J. Grainautline – a Supervised Grain Boundary Extraction Tool Supported by Image Processing and Pattern Recognition. ASMOSIA XI, Interdisciplinary Studies on Ancient Stone, Proceedings of the XI International Conference of ASMOSIA. Split: University of Split, Arts Academy in Split, University of Split, Faculty of Civil Engineering, Architecture and Geodesy; 2018. Pp. 587-595. [cited 2024 August 08] Available at: https://urn.nsk.hr/urn:nbn:hr:123:050051

K. Csorba, L. Barancsuk, B. Székely and J. Zöldföldi, "Grainautline – a Supervised Grain Boundary Extraction Tool Supported by Image Processing and Pattern Recognition", ASMOSIA XI, Interdisciplinary Studies on Ancient Stone, Proceedings of the XI International Conference of ASMOSIA Split: University of Split, Arts Academy in Split, University of Split, Faculty of Civil Engineering, Architecture and Geodesy, 2018. [Online] Available at: https://urn.nsk.hr/urn:nbn:hr:123:050051 [Accessed: 08 August 2024]

Metadata
Title (english)Grainautline – a Supervised Grain Boundary Extraction Tool Supported by Image Processing and Pattern Recognition
AuthorKristóf Csorba
AuthorLilla Barancsuk
AuthorBalázs Székely
AuthorJudit Zöldföldi
Scientific / art field,
discipline and subdiscipline		NATURAL SCIENCES
Geophysics
Abstract (english)
Marble provenancing is often based on stable isotopic ratios and maximum grain size (MGS). Methods for retrieving a reliable MGS value sufficiently accurate for provenancing require the observation of many grains. As this involves significant work, automation of the process is desirable. GrainAutLine, the software tool proposed in this paper is designed to find grain boundaries in a semi-automatic way and ensure high quality results. This allows marble provenancing approaches to use statistics derived from the exact boundaries, like grain-size histograms. GrainAutLine is like a very specialized drawing program featuring several sophisticated tools for boundary detection and correction. It allows the users to segment thin section, or other high resolution images including twin crystal lines and boundary discontinuities much faster than doing it manually. Segmentation results can then be exported into industry-standard shape files and further analyzed for example by GIS applications.
Keywords (english)
Languageenglish
Publication typeScientific paper - Original scientific paper
Publication statusPublished
Peer reviewPeer review - international
Publication versionPublished version
Publication titleASMOSIA XI, Interdisciplinary Studies on Ancient Stone, Proceedings of the XI International Conference of ASMOSIA
Numberingpp. 587-595
ISBN978-953-6617-49-4 (Arts Academy in Split (print))
ISBN978-953-6116-75-1 (Faculty of Civil Engineering, Architecture and Geodesy (print))
ISBN978-953-6617-51-7 (Arts Academy in Split (online))
ISBN978-953-6116-79-9 (Faculty of Civil Engineering, Architecture and Geodesy (online))
DOIhttps://doi.org/10.31534/XI.asmosia.2015/04.01
URN:NBNurn:nbn:hr:123:050051
Publication2018
ConferenceTitle: The XI International Conference of ASMOSIA
Acronym: ASMOSIA XI
Location: Split, Croatia
Start date: 2015-05-18
End date: 2015-05-22
Assembly type: Lecture
Document URLhttp://gradst.unist.hr/ostalo/izdavacka-djelatnost/a/view/id/4078
Type of resourceText
PublisherUniversity of Split, Arts Academy in Split
PublisherUniversity of Split, Faculty of Civil Engineering, Architecture and Geodesy
Publishing placeSplit
Access conditionsOpen access
Terms of useLicence In copyright icon
Public noteKristóf Csorba and Lilla Barancsuk, Department of Automation and Applied Informatics, Budapest University of Technology and Economics, Budapest, Hungary (csorba.kristof@aut.bme.hu; barancsuklilla@gmail.com); Balázs Székely, Department of Geophysics and Space Sciences, Eötvös Loránd University, Budapest, Hungary / Interdisziplinäres Ökologisches Zentrum, TU Bergakademie Freiberg, Freiberg, Germany (balazs.szekely@ttk.elte.hu); Judit Zöldföldi, Institute of Material Science, University of Stuttgart, Germany (judit.zoeldfoeldi@mpa.uni-stuttgart.de)
Created on2019-03-14 09:29:09