Open source workflow for multispectral imaging based on artificial neural networks

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15310%2F22%3A73613646" target="_blank" >RIV/61989592:15310/22:73613646 - isvavai.cz</a>

Result on the web

<a href="https://obd.upol.cz/id_publ/333193533" target="_blank" >https://obd.upol.cz/id_publ/333193533</a>

DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Open source workflow for multispectral imaging based on artificial neural networks

Original language description

This paper presents a workflow based on open source software for multispectral imaging specifically designed for analysis of works of art. Our workflow allows to capture radiometrically and colorimetrically accurate images, requiring only common photography equipment and a set of two optical filters. The input data is machine-processed using artificial neural networks to obtain interpretation-ready multispectral images. We provide the entire software package under the general public license.

Czech name

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Czech description

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Type

J_ost - Miscellaneous article in a specialist periodical

CEP classification

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OECD FORD branch

10306 - Optics (including laser optics and quantum optics)

Project

<a href="/en/project/EF17_048%2F0007378" target="_blank" >EF17_048/0007378: Arteca: Advanced physical-chemical methods of research and protection of cultural and artistic heritage.</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2022

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Jemná mechanika a optika

ISSN

0447-6441

e-ISSN

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Volume of the periodical

67

Issue of the periodical within the volume

2

Country of publishing house

CZ - CZECH REPUBLIC

Number of pages

7

Pages from-to

48-54

UT code for WoS article

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EID of the result in the Scopus database

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