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Statements

Subject Item
n2:RIV%2F00216305%3A26220%2F14%3APR27817%21RIV15-MV0-26220___
rdf:type
skos:Concept n19:Vysledek
rdfs:seeAlso
http://splab.cz/en/download/software/software-zpracovani-termalnich-obrazu-pomoci-technik-superresolution
dcterms:description
A disadvantage of most of commercially available thermal cameras is a low spatial resolution. This software is able to process video sequences recorded by thermal camera FLIR SC660 (the sequences must be stored in *.csv format) and to increase the spatial resolution using several frames extracted from the sequence. A superresolution method is used for this purpose. It is possible to run the software in MATLAB using command GUI. Use button Open File to load the video sequence that will be used for new image reconstruction. Field Choose reference can be used to identify a number of frame that will be used as reference one. Next, it is possible to define how many frames will be selected before and after reference one, and what step will be used between the consecutive frames. Finally it is possible to determine kind of filtering during post-processing method. It is possible to skip this step or it is possible to use interpolation as well as Wiener filter. The reference and resulting image I displayed in software window. It is also possible to export the resulting image into *.mat format. The artificial spatial resolution increase can be done without graphic interface too. For this purpose use functions dftregistration.m and registration.m A disadvantage of most of commercially available thermal cameras is a low spatial resolution. This software is able to process video sequences recorded by thermal camera FLIR SC660 (the sequences must be stored in *.csv format) and to increase the spatial resolution using several frames extracted from the sequence. A superresolution method is used for this purpose. It is possible to run the software in MATLAB using command GUI. Use button Open File to load the video sequence that will be used for new image reconstruction. Field Choose reference can be used to identify a number of frame that will be used as reference one. Next, it is possible to define how many frames will be selected before and after reference one, and what step will be used between the consecutive frames. Finally it is possible to determine kind of filtering during post-processing method. It is possible to skip this step or it is possible to use interpolation as well as Wiener filter. The reference and resulting image I displayed in software window. It is also possible to export the resulting image into *.mat format. The artificial spatial resolution increase can be done without graphic interface too. For this purpose use functions dftregistration.m and registration.m
dcterms:title
Thermal image processing using superresolution methods Thermal image processing using superresolution methods
skos:prefLabel
Thermal image processing using superresolution methods Thermal image processing using superresolution methods
skos:notation
RIV/00216305:26220/14:PR27817!RIV15-MV0-26220___
n3:aktivita
n10:S n10:P
n3:aktivity
P(ED2.1.00/03.0072), P(VG20102014033), S
n3:dodaniDat
n4:2015
n3:domaciTvurceVysledku
n8:1638564 n8:2516098 n8:4075439
n3:druhVysledku
n15:R
n3:duvernostUdaju
n18:S
n3:ekonomickeParametry
Software je využíván na univerzitě Escola Universitaria Politecnica de Mataro, Avda. Ernest Lluch 32, 08302 Mataro (BARCELONA), Spain a v technologickém kampusu Tecnocampus Mataro-Maresme, Avda. Ernest Lluch 32, 08302 Mataro (BARCELONA) Spain. Pro výzkumné, vývojové a akademické účely je software šířen pod licencí GPL.
n3:entitaPredkladatele
n7:predkladatel
n3:idSjednocenehoVysledku
50321
n3:idVysledku
RIV/00216305:26220/14:PR27817
n3:interniIdentifikace
Thermal image processing using s
n3:jazykVysledku
n20:eng
n3:klicovaSlova
Thermal spectrum, superresolution, image signal processing
n3:klicoveSlovo
n16:superresolution n16:Thermal%20spectrum n16:image%20signal%20processing
n3:kontrolniKodProRIV
[4D69D2D3941C]
n3:licencniPoplatek
n6:Z
n3:obor
n13:JA
n3:pocetDomacichTvurcuVysledku
3
n3:pocetTvurcuVysledku
3
n3:projekt
n14:VG20102014033 n14:ED2.1.00%2F03.0072
n3:rokUplatneniVysledku
n4:2014
n3:technickeParametry
Pro jednání o licenčních podmínkách tohoto softwaru je za VUT pověřen pracovník Centra pro transfer technologií VUT v Brně Ing. Lukáš Novák, Kounicova 966/67a, Veveří, 60200, Brno, Česká republika, novak@ro.vutbr.cz.
n3:tvurceVysledku
Petrásek, Daniel Smékal, Zdeněk Mekyska, Jiří
n3:vlastnik
n7:vlastnikVysledku
n3:vyuzitiJinymSubjektem
n5:P
n11:organizacniJednotka
26220