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 :
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