B-spline representation of active contours

Author

Kim, DongKeun

Author_Institution

Dept. of Comput. & Inf. Sci., Seonam Univ., Jeonbuk, South Korea

Volume

2

fYear

1999

fDate

1999

Firstpage

813

Abstract

In this paper, we propose two cubic B-spline representations have a lot of advantages such as compact and local control. One is based on registration by a least squares method. The evolutions of an active contour are restricted by an affine transformation which is calculated by corresponding points between pre-deformed and deformed curves during the evolution process. The other is based on dynamic programming. We applied it to control points. It is an energy minimizing spline controlled by control points. We use dynamic programming as an energy minimization method for both approaches. The proposed algorithms is applied to both synthetic binary images and MRI images

Keywords

dynamic programming; image registration; image representation; image segmentation; least squares approximations; splines (mathematics); B-spline representation; MRI images; active contours; affine transformation; control points; cubic B-spline; deformed curves; dynamic programming; energy minimization method; image registration; image segmentation; least squares method; pre-deformed curves; synthetic binary images; Active contours; Dynamic programming; Equations; Finite difference methods; Image segmentation; Least squares methods; Magnetic resonance imaging; Matrix decomposition; Signal processing; Spline;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing and Its Applications, 1999. ISSPA '99. Proceedings of the Fifth International Symposium on

Conference_Location

Brisbane, Qld.

Print_ISBN

1-86435-451-8

Type

conf

DOI

10.1109/ISSPA.1999.815796

Filename

815796