ON MEAN-CURVATURE DIFFUSION IN NONLINEAR IMAGE FILTERING

Authors
ELFALLAH AI FORD GE
Citation
Ai. Elfallah et Ge. Ford, ON MEAN-CURVATURE DIFFUSION IN NONLINEAR IMAGE FILTERING, Pattern recognition letters, 19(5-6), 1998, pp. 433-437
Citations number
9
Categorie Soggetti
Computer Science Artificial Intelligence","Computer Science Artificial Intelligence
Journal title
Pattern recognition letters → ACNP
ISSN journal
01678655
Volume
19
Issue
5-6
Year of publication
1998
Pages
433 - 437
Database
ISI
SICI code
0167-8655(1998)19:5-6<433:OMDINI>2.0.ZU;2-O
Abstract
Mean curvature diffusion is shown to be a position vector diffusion, t ending to scalar diffusion as a flat image region is approached, and p roviding noise removal by steepest descent surface minimization. At ed ges, it switches to a nondiffusion state due to two factors: the Lapla cian of position vanishes and the magnitude of the surface normal atta ins a local maximum. (C) 1998 Elsevier Science B.V. All rights reserve d.