DocumentCode
479966
Title
The Improvement of C-V Level Set Method for Image Segmentation
Author
Xiao, Jinsheng ; Xu, Lingling ; Yi, Benshun ; Xie, Wenjuan
Author_Institution
Sch. of Electron. Inf., Wuhan Univ., Wuhan
Volume
2
fYear
2008
fDate
12-14 Dec. 2008
Firstpage
1106
Lastpage
1109
Abstract
The Chan-Vese level set method has wide potential application as an image segmentation method. But the complex computing restricts its application field. In order to improve the speed of image segmentation, this paper presents a new level set initialization method on Chan-Vese level set model. After a simple iterative, we can separate out the outline of objects. Experiments show that the method is simple and efficient, with better separation effects than the old method.
Keywords
image segmentation; iterative methods; Chan-Vese level set method; image segmentation; level set initialization; simple iterative; Active contours; Application software; Capacitance-voltage characteristics; Computer applications; Computer science; Deformable models; Image segmentation; Level set; Software engineering; Solid modeling; C-V method; image Segmentation; image process; level set method;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Software Engineering, 2008 International Conference on
Conference_Location
Wuhan, Hubei
Print_ISBN
978-0-7695-3336-0
Type
conf
DOI
10.1109/CSSE.2008.1047
Filename
4722245
Link To Document