DocumentCode :
3007987
Title :
Geometric partial differential equations in image analysis: past, present, and future
Author :
Sapiro, Guillermo
Author_Institution :
Hewlett-Packard Labs., Palo Alto, CA, USA
Volume :
3
fYear :
1995
fDate :
23-26 Oct 1995
Firstpage :
1
Abstract :
The author discusses the main characteristics of the use of partial differential equations and curve/surface evolution theory in computer vision and image processing. The approach and its main advantages are described, together with a number of examples
Keywords :
computer vision; image processing; partial differential equations; computer vision; curve/surface evolution theory; geometric partial differential equations; image analysis; image processing; Computer vision; Electric shock; Filters; Histograms; Image analysis; Image processing; Partial differential equations; Smoothing methods; Stability; Viscosity;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing, 1995. Proceedings., International Conference on
Conference_Location :
Washington, DC
Print_ISBN :
0-8186-7310-9
Type :
conf
DOI :
10.1109/ICIP.1995.537565
Filename :
537565
Link To Document :
بازگشت