A faster B spline snake

Author

Xin, Wang ; Yunxia, Tu

Author_Institution

Shenzhen Grad. Sch., Harbin Inst. of Technol., Shenzhen, China

fYear

2009

Firstpage

2314

Lastpage

2319

Abstract

Active contour model(or´snake´) is efficient in object contour extraction. It is widely applied in many fields, such as human facial feature extraction, segmenation of medical images, vedio object segmentation, 3D reconstruction, and so on. The implementation of GVF into the B Spline snake is specified, the resulting GVF B spline snake, retains the advantages of GVF snake. In this paper SOR method is assembled to speed GVF computation, and the same effect is reached in snake deforming by Conjugate Gradient method. The modified snake algorithm performs more effective and faster over original B spline snake.

Keywords

conjugate gradient methods; feature extraction; image reconstruction; image segmentation; splines (mathematics); 3D image reconstruction; GVF B spline snake; SOR method; active contour model; conjugate gradient method; human facial feature extraction; medical image segmentation; object contour extraction; vedio object segmentation; Active contours; Biomedical imaging; Biomimetics; Facial features; Humans; Image reconstruction; Medical robotics; Object segmentation; Solid modeling; Spline;

fLanguage

English

Publisher

ieee

Conference_Titel

Robotics and Biomimetics (ROBIO), 2009 IEEE International Conference on

Conference_Location

Guilin

Print_ISBN

978-1-4244-4774-9

Electronic_ISBN

978-1-4244-4775-6

Type

conf

DOI

10.1109/ROBIO.2009.5420738

Filename

5420738