DocumentCode
2077866
Title
Experiments on geometric image enhancement
Author
Sapiro, Guillermo ; Tannenbaum, Allen ; You, Yu-Li ; Kaveh, Mos
Author_Institution
Hewlett-Packard Lab, Palo Alto, CA, USA
Volume
2
fYear
1994
fDate
13-16 Nov 1994
Firstpage
472
Abstract
In this paper we experiments with geometric algorithms for image smoothing. Examples are given for MRI and ATR data. We emphasize experiments with the affine invariant geometric smoother or affine heat equation, originally developed for binary shape smoothing, and found to be efficient for gray-level images as well. Efficient numerical implementations of these flows give anisotropic diffusion processes which preserve edges
Keywords
biomedical NMR; image enhancement; smoothing methods; ATR; Euclidean image processing; MRI; affine heat equation; affine invariant geometric smoother; anisotropic diffusion processes; edge preservation; geometric algorithms; gray-level images; image enhancement; image smoothing; numerical implementations; Anisotropic magnetoresistance; Computational geometry; Computer vision; Differential equations; Image analysis; Image enhancement; Magnetic resonance imaging; Milling machines; Shape; Smoothing methods;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing, 1994. Proceedings. ICIP-94., IEEE International Conference
Conference_Location
Austin, TX
Print_ISBN
0-8186-6952-7
Type
conf
DOI
10.1109/ICIP.1994.413615
Filename
413615
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