Visualization of Transient Characteristics of Warming with Thermal Cameras

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F18%3A10241581" target="_blank" >RIV/61989100:27240/18:10241581 - isvavai.cz</a>

Výsledek na webu

<a href="https://ieeexplore.ieee.org/document/8323983" target="_blank" >https://ieeexplore.ieee.org/document/8323983</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/SAMI.2018.8323983" target="_blank" >10.1109/SAMI.2018.8323983</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Visualization of Transient Characteristics of Warming with Thermal Cameras

Popis výsledku v původním jazyce

The work deals with issue of the infrared camera image acquisition and subsequent analysis. The image acquisition was used infrared camera Thermal CAM FLIRT 2000th object was captured bimetal temperature sensor. Software for the processing was developed in the MATLAB. The aim was to visualize the step response of the warming subject. This objective is closely linked to problems of removing noise from an image and finding the edges of the object. You also need to remove the background object. These methods created a mask to be applied to sets of measurements. Source data are stored in the series. The series contains a finite number of measurement files, which are scanned at predefined intervals. After application of the masks for all the files, it will create an array of values, from which the step response plots.

Název v anglickém jazyce

Visualization of Transient Characteristics of Warming with Thermal Cameras

Popis výsledku anglicky

The work deals with issue of the infrared camera image acquisition and subsequent analysis. The image acquisition was used infrared camera Thermal CAM FLIRT 2000th object was captured bimetal temperature sensor. Software for the processing was developed in the MATLAB. The aim was to visualize the step response of the warming subject. This objective is closely linked to problems of removing noise from an image and finding the edges of the object. You also need to remove the background object. These methods created a mask to be applied to sets of measurements. Source data are stored in the series. The series contains a finite number of measurement files, which are scanned at predefined intervals. After application of the masks for all the files, it will create an array of values, from which the step response plots.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

<a href="/cs/project/GA17-03037S" target="_blank" >GA17-03037S: Hodnocení investic do vývoje zdravotních prostředků</a><br>

Návaznosti

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

Rok uplatnění

2018

Kód důvěrnosti údajů

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

Název statě ve sborníku

SAMI 2018 - IEEE 16th World Symposium on Applied Machine Intelligence and Informatics Dedicated to the Memory of Pioneer of Robotics Antal (Tony) K. Bejczy, Proceedings

ISBN

978-1-5386-4772-1

ISSN

—

e-ISSN

neuvedeno

Počet stran výsledku

5

Strana od-do

37-41

Název nakladatele

IEEE

Místo vydání

Vienna

Místo konání akce

Kosice

Datum konání akce

7. 2. 2018

Typ akce podle státní příslušnosti

EUR - Evropská akce

Kód UT WoS článku

000458546000010