DocumentCode :
1822332
Title :
Resolving the Initial Contour Problem of GVF Snake in the Sequential Images
Author :
Yunhwan Seol ; Jaeseung Yu ; Teahoon Kang ; Kwanghee Choi ; Hochul Kim ; Mingi Kim
Author_Institution :
Korea Univ., Seoul
fYear :
2007
fDate :
22-26 Aug. 2007
Firstpage :
779
Lastpage :
782
Abstract :
GVF algorithm has been studied actively and it will be able to apply to quite many applications. This paper presents GVF algorithm for the segmentation of a sequence of images. Traditional GVF algorithm can extract contour of object in an image. However, in the video sequence images or CT images traditional GVF algorithm had some problems. We can treat these problems under motion tracking using motion estimation using mean square error (MSE). Initial point problem is very important in GVF algorithm. We applied extracted initial point of first image to the second image. In other word, previous initial contour can be used to the next initial contour.
Keywords :
computerised tomography; image segmentation; image sequences; initial value problems; mean square error methods; medical image processing; motion estimation; GVF algorithm; image segmentation; initial contour problem; mean square error; motion estimation; motion tracking; sequential images; Active contours; Brightness; Computed tomography; Deformable models; Image resolution; Mean square error methods; Motion estimation; Solid modeling; Tracking; Video sequences; Algorithms; Humans; Image Processing, Computer-Assisted; Motion; Tomography, X-Ray Computed;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, 2007. EMBS 2007. 29th Annual International Conference of the IEEE
Conference_Location :
Lyon
ISSN :
1557-170X
Print_ISBN :
978-1-4244-0787-3
Type :
conf
DOI :
10.1109/IEMBS.2007.4352406
Filename :
4352406
Link To Document :
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