DocumentCode :
1428670
Title :
Mean curvature evolution and surface area scaling in image filtering
Author :
Ford, G.E.
Volume :
6
Issue :
5
fYear :
1997
fDate :
5/1/1997 12:00:00 AM
Firstpage :
750
Lastpage :
753
Abstract :
Representing the image as a surface, an inhomogeneous diffusion algorithm is developed, evolving the surface at a speed proportional to its mean curvature, reducing noise while preserving image structure. An adaptive scaling parameter increases the speed of the diffusion. The properties of a discrete algorithm are demonstrated experimentally
Keywords :
adaptive filters; diffusion; edge detection; filtering theory; image enhancement; image representation; nonlinear filters; adaptive nonlinear scaling parameter; discrete algorithm; image filtering; image representation; inhomogeneous diffusion algorithm; mean curvature evolution; noise reduction; surface area scaling; Anisotropic magnetoresistance; Differential equations; Filtering algorithms; Image processing; Lead isotopes; Level set; Noise reduction; Proportional control; Space heating;
fLanguage :
English
Journal_Title :
Image Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1057-7149
Type :
jour
DOI :
10.1109/83.568931
Filename :
568931
Link To Document :
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