prikaz prve stranice dokumenta Grainautline – a Supervised Grain Boundary Extraction Tool Supported by Image Processing and Pattern Recognition
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Grainautline – a Supervised Grain Boundary Extraction Tool Supported by Image Processing and Pattern Recognition
U: 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. str. 587-595. https://doi.org/10.31534/XI.asmosia.2015/04.01
Csorba, Kristóf; Barancsuk, Lilla; Székely, Balázs; Zöldföldi, Judit

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ASMOSIA XI, Interdisciplinary Studies on Ancient Stone, Proceedings of the XI International Conference of ASMOSIA | Knjiga

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Csorba, K., Barancsuk, L., Székely, B. i 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 (str. 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, str. 587-595. https://urn.nsk.hr/urn:nbn:hr:123:050051

Csorba, Kristóf, Lilla Barancsuk, Balázs Székely i Judit Zöldföldi. "Grainautline – a Supervised Grain Boundary Extraction Tool Supported by Image Processing and Pattern Recognition." U 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. Citirano 21.11.2024.. 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, str. 587-595. Preuzeto s: https://urn.nsk.hr/urn:nbn:hr:123:050051 (Datum pristupa: 21.11.2024.)

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. Str. 587-595. [pristupljeno 21.11.2024.] Dostupno na: https://urn.nsk.hr/urn:nbn:hr:123:050051

K. Csorba, L. Barancsuk, B. Székely i 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] Dostupno na: https://urn.nsk.hr/urn:nbn:hr:123:050051 [Citirano: 21.11.2024.]

Za citiranje koristite ovu mrežnu adresu: https://urn.nsk.hr/urn:nbn:hr:123:050051
Podaci o radu
Naslov (engleski)Grainautline – a Supervised Grain Boundary Extraction Tool Supported by Image Processing and Pattern Recognition
AutorKristóf Csorba
AutorLilla Barancsuk
AutorBalázs Székely
AutorJudit Zöldföldi
Znanstveno / umjetničko
područje, polje i grana		PRIRODNE ZNANOSTI
Geofizika
Sažetak (engleski)
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.
Ključne riječi (engleski)
Jezikengleski
Vrsta publikacijeZnanstveni rad - Izvorni znanstveni rad
Status objaveObjavljen
Vrsta recenzijeRecenziran - međunarodna recenzija
Verzija publikacijeObjavljena verzija rada (izdavačev PDF)
Naslov zbornikaASMOSIA XI, Interdisciplinary Studies on Ancient Stone, Proceedings of the XI International Conference of ASMOSIA
Brojčani podacistr. 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
Datum objave publikacije2018
SkupNaziv: The XI International Conference of ASMOSIA
Kratica: ASMOSIA XI
Lokacija: Split, Hrvatska
Datum početka: 2015-05-18
Datum završetka: 2015-05-22
Vrsta izlaganja: Predavanje
URL dokumentahttp://gradst.unist.hr/ostalo/izdavacka-djelatnost/a/view/id/4078
Vrsta resursaTekst
IzdavačUniversity of Split, Arts Academy in Split
IzdavačUniversity of Split, Faculty of Civil Engineering, Architecture and Geodesy
Mjesto izdavanjaSplit
Prava pristupaOtvoreni pristup
Uvjeti korištenjaIkona licence Zaštićeno autorskim pravom.
Javna napomenaKristóf 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)
Datum i vrijeme pohrane2019-03-14 09:29:09