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
Link To Document :
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