DocumentCode
398390
Title
Level set methods in image science
Author
Tsai, Yen Hsi ; Osher, Stanley
Author_Institution
Dept. of Math., Princeton Univ., NJ, USA
Volume
2
fYear
2003
fDate
14-17 Sept. 2003
Abstract
In this article, we discuss the question "what level set methods can do for image science". We examine the presence of these and related methods in image science and introduce some relevant level set techniques that are potentially useful for this class of applications. We will show that image science demands multidisciplinary knowledge and flexible but still robust methods, and that is why the level set method has become a thriving technique in this field.
Keywords
image processing; imaging; image processing; image science; imaging science; level set method; multidisciplinary knowledge; thriving level set technique; Computer graphics; Computer vision; Digital images; Image processing; Image segmentation; Level set; Linear algebra; Mathematics; Robustness; TV;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing, 2003. ICIP 2003. Proceedings. 2003 International Conference on
ISSN
1522-4880
Print_ISBN
0-7803-7750-8
Type
conf
DOI
10.1109/ICIP.2003.1246759
Filename
1246759
Link To Document