title: Resolving the initial contour problem of GVF snake in the sequential images.
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.
authors.affiliation: Department of Electronics & Information Engineering, Korea University, Seoul, South Korea. yhseol@korea.ac.kr
authors.forename: Yunhwan
authors.initials: Y
authors.lastname: Seol
authors.forename: Jaeseung
authors.initials: J
authors.lastname: Yu
authors.forename: Teahoon
authors.initials: T
authors.lastname: Kang
authors.forename: Kwanghee
authors.initials: K
authors.lastname: Choi
authors.forename: Hochul
authors.initials: H
authors.lastname: Kim
authors.forename: Mingi
authors.initials: M
authors.lastname: Kim
mesh_terms: D000465:Algorithms; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D009038:Motion; D014057:Tomography, X-Ray Computed