Resolving the Initial Contour Problem of GVF Snake in the Sequential Images

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 tra...

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Bibliographic Details
Published in:	2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society Vol. 2007; pp. 779 - 782
Main Authors:	Seol, Yunhwan, Yu, Jaeseung, Kang, Teahoon, Choi, Kwanghee, Kim, Hochul, Kim, Mingi
Format:	Conference Proceeding Journal Article
Language:	English
Published:	United States IEEE 01-01-2007
Subjects:	Active contours Algorithms Brightness Computed tomography Deformable models Humans Image Processing, Computer-Assisted - methods Image resolution Mean square error methods Motion Motion estimation Solid modeling Tomography, X-Ray Computed Tracking Video sequences
Online Access:	Get full text
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Summary:	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.
ISBN:	9781424407873 1424407877
ISSN:	1094-687X 1557-170X 1558-4615
DOI:	10.1109/IEMBS.2007.4352406