About: Marker detection based on the disparity analysis

Facets (new session)
Description
Metadata
Settings
- owl:sameAs
- Inference Rule:

About: Marker detection based on the disparity analysis Goto Sponge NotDistinct Permalink

An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

Attributes	Values
rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	The image registration is defined as a searching for the best geometric transform, which describes the relationship between the reference image and the floated image. There are two approaches how to register corresponding images. The main difference is in the geometrical transform applied to the floated image. In the area of soft tissue movements (e.g. muscles) the global geometrical transform is inefficient, thus the local geometrical transform has to be applied. The registration is then based on a number of mutually shifted corresponded markers (points) determined in both of the images. In the case that there are any artifical markers in both reference and floated images, we have to determine them using some sophisticated method. In this paper, we present the results of the markers de-tection based on the Disparity analysis method. The image registration is defined as a searching for the best geometric transform, which describes the relationship between the reference image and the floated image. There are two approaches how to register corresponding images. The main difference is in the geometrical transform applied to the floated image. In the area of soft tissue movements (e.g. muscles) the global geometrical transform is inefficient, thus the local geometrical transform has to be applied. The registration is then based on a number of mutually shifted corresponded markers (points) determined in both of the images. In the case that there are any artifical markers in both reference and floated images, we have to determine them using some sophisticated method. In this paper, we present the results of the markers de-tection based on the Disparity analysis method. (en)
Title	Marker detection based on the disparity analysis Marker detection based on the disparity analysis (en)
skos:prefLabel	Marker detection based on the disparity analysis Marker detection based on the disparity analysis (en)
skos:notation	RIV/00216305:26220/09:PU80402!RIV10-MSM-26220___
http://linked.open...avai/riv/aktivita	S Z
http://linked.open...avai/riv/aktivity	S, Z(MSM0021630513)
http://linked.open...vai/riv/dodaniDat	2010
http://linked.open...aciTvurceVysledku	Malínský, Miloš Peter, Roman
http://linked.open.../riv/druhVysledku	D - Článek ve sborníku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Vysoké učení technické v Brně / Fakulta elektrotechniky a komunikačních technologií
http://linked.open...dnocenehoVysledku	324722
http://linked.open...ai/riv/idVysledku	RIV/00216305:26220/09:PU80402
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	disparity analysis, disparity map, markers, CT (en)
http://linked.open.../riv/klicoveSlovo	markers CT disparity analysis disparity map
http://linked.open...ontrolniKodProRIV	[D37A4D11B6D5]
http://linked.open...v/mistoKonaniAkce	FEKT VUT v Brně
http://linked.open...i/riv/mistoVydani	Neuveden
http://linked.open...i/riv/nazevZdroje	Proceedings of The 15th Conference Student EEICT 2009. Vol 4.
http://linked.open...in/vavai/riv/obor	JA
http://linked.open...ichTvurcuVysledku	2 (xsd:int)
http://linked.open...cetTvurcuVysledku	2 (xsd:int)
http://linked.open...UplatneniVysledku	2009
http://linked.open...iv/tvurceVysledku	Malínský, Miloš Peter, Roman
http://linked.open...vavai/riv/typAkce	CST - Celostátní
http://linked.open.../riv/zahajeniAkce	2009-04-23 (xsd:date)
http://linked.open...n/vavai/riv/zamer	Advanced Electronic Communication Systems and Technologies (ELCOM)
number of pages	4 (xsd:int)
http://purl.org/ne...btex#hasPublisher	Neuveden
https://schema.org/isbn	978-80-214-3870-5
http://localhost/t...ganizacniJednotka	26220
is http://linked.open...avai/riv/vysledek of	Marker detection based on the disparity analysis Marker detection based on the disparity analysis Marker detection based on the disparity analysis Marker detection based on the disparity analysis

Faceted Search & Find service v1.16.118 as of Jun 21 2024

Alternative Linked Data Documents: ODE Content Formats:

RDF

ODATA

Microdata

About

OpenLink Virtuoso version 07.20.3240 as of Jun 21 2024, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (126 GB total memory, 58 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software