Image fusion for art analysis

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F11%3A00358443" target="_blank" >RIV/67985556:_____/11:00358443 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1117/12.872420" target="_blank" >http://dx.doi.org/10.1117/12.872420</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1117/12.872420" target="_blank" >10.1117/12.872420</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Image fusion for art analysis

Popis výsledku v původním jazyce

Our paper addresses problem of multimodal data acquisition and data visualization for art analysis. Various types of modalities of digital images are used for art analysis. The data we can obtain differ in two ways. The images can differ by their mutualgeometry and radiometric quality. These are the differences we would like to remove. The group of differences we are interested in are details or characteristics of an artwork, which are apparent just in the certain modality. The two groups represent twocategories of image processing methods we have to deal with. The first one is represented by image preprocessing methods such as data enhancement and restoration, the second class includes effective ways how to combine the acquired information into oneimage - image fusion. In our paper we present image enhancement for microscopic multimodal data and their segmentation and recent results in data fusion and visualization for art analysis from the second category of methods.

Název v anglickém jazyce

Image fusion for art analysis

Popis výsledku anglicky

Our paper addresses problem of multimodal data acquisition and data visualization for art analysis. Various types of modalities of digital images are used for art analysis. The data we can obtain differ in two ways. The images can differ by their mutualgeometry and radiometric quality. These are the differences we would like to remove. The group of differences we are interested in are details or characteristics of an artwork, which are apparent just in the certain modality. The two groups represent twocategories of image processing methods we have to deal with. The first one is represented by image preprocessing methods such as data enhancement and restoration, the second class includes effective ways how to combine the acquired information into oneimage - image fusion. In our paper we present image enhancement for microscopic multimodal data and their segmentation and recent results in data fusion and visualization for art analysis from the second category of methods.

Druh

D - Stať ve sborníku

CEP obor

JD - Využití počítačů, robotika a její aplikace

OECD FORD obor

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Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

Z - Vyzkumny zamer (s odkazem do CEZ)

Rok uplatnění

2011

Kód důvěrnosti údajů

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

Název statě ve sborníku

Proceedings of SPIE

ISBN

978-0-8194-8406-2

ISSN

—

e-ISSN

—

Počet stran výsledku

9

Strana od-do

786908-1-786908-9

Název nakladatele

SPIE

Místo vydání

Bellingham

Místo konání akce

San Francisco Airport

Datum konání akce

23. 1. 2011

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000293633300006