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