Identity statement area
Reference TypeConference Paper (Conference Proceedings)
Last Update2007: administrator
Metadata Last Update2020: administrator
Citation KeyHigaRebeSantGuti:2007:CoThDi
TitleComparison of Three Different Derivative Approaches Aiming at Estimation of Image Movement
DateOct. 7-10, 2007
Access Date2021, Jan. 19
Number of Files1
Size225 KiB
Context area
Author1 Higa, Mauricio
2 Rebelo, Marina de Sá
3 Santos, Carlos da Silva
4 Gutierrez, Marco Antonio
Affiliation1 Polytechnic School - University of São Paulo
2 Heart Institute (InCor) - Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo
3 Institute of Mathematics and Statistics - University of São Paulo
4 Heart Institute (InCor) - Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo and Polytechnic School - University of São Paulo
EditorGonçalves, Luiz
Wu, Shin Ting
Conference NameBrazilian Symposium on Computer Graphics and Image Processing, 20 (SIBGRAPI)
Conference LocationBelo Horizonte
Book TitleProceedings
PublisherSociedade Brasileira de Computação
Publisher CityPorto Alegre
Tertiary TypeTechnical Poster
History2008-07-17 14:09:45 :: -> administrator ::
2009-08-13 20:38:40 :: administrator -> banon ::
2010-08-28 20:02:31 :: banon -> administrator ::
2020-02-19 03:06:19 :: administrator -> :: 2007
Content and structure area
Is the master or a copy?is the master
Content Stagecompleted
Content TypeExternal Contribution
Keywordscardiac movement, image derivatives, optical flow, velocity components.
AbstractThe use of optical flow techniques to extract the velocity from the cardiac movement has to take into account the computational inaccuracy raised from the derivative operator over discrete data. This study presents a comparison of three different derivative approaches (two based on linear and other based on non-linear filtering) to find out the best solution. Results of the experiments are compared using a structural distortion based image quality metric.
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Target FileSibgrapi07_Comparison3Derivative_RevA.pdf
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