Efficient image segmentation and its application to motion estimation

R.B. Wittebrood, G. Haan, de

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

Samenvatting

In this paper, a new concept is introduced for economy image segmentation applicable in an earlier designed object based motion estimation algorithm. The image segmentation is based on simple features, like average grayscale within a segment, and uses spatial-temporal predictions in order to economize the segmentation procedure. Focus is on the segmentation process and the robust application of a non-perfect segmentation mask in the object based motion estimator. In this application, the new image segmentation method helps to improve the motion segmentation, while reducing the operations count. The paper describes both the object-based motion estimation and the block-based image segmentation. Experimental results are described in order to proof the validity of the concept.
Originele taal-2Engels
TitelImage and Video Communications and Processing 2003 (IVCP 2003)
Plaats van productieBellingham
UitgeverijSPIE
Pagina's58-66
Aantal pagina's9
DOI's
StatusGepubliceerd - 2003
EvenementIIS&T/SPIE Electronic Imaging 2003, Santa Clara, CA, USA -
Duur: 20 jan 200324 jan 2003

Publicatie series

NaamProceedings of SPIE
Volume5022
ISSN van geprinte versie0277-786X

Congres

CongresIIS&T/SPIE Electronic Imaging 2003, Santa Clara, CA, USA
Periode20/01/0324/01/03
AnderIIS&T/SPIE Electronic Imaging 2003, Santa Clara, CA, USA

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